Package evaluation to test CRRao on Julia 1.14.0-DEV.3141 (fbd24f51d0*) started at 2026-09-09T04:58:50.345 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Activating project at `~/.julia/environments/v1.14` Set-up completed after 15.3s ################################################################################ # Installation # Installing CRRao... Resolving package versions... Updating `~/.julia/environments/v1.14/Project.toml` [49d1be55] + CRRao v0.1.1 Updating `~/.julia/environments/v1.14/Manifest.toml` [47edcb42] + ADTypes v1.24.0 [a4c015fc] + ANSIColoredPrinters v0.0.1 [621f4979] + AbstractFFTs v1.5.0 [80f14c24] + AbstractMCMC v5.16.0 ⌅ [7a57a42e] + AbstractPPL v0.8.4 [1520ce14] + AbstractTrees v0.4.5 [7d9f7c33] + Accessors v0.1.45 [79e6a3ab] + Adapt v4.7.0 ⌅ [0bf59076] + AdvancedHMC v0.6.4 [5b7e9947] + AdvancedMH v0.8.10 ⌅ [576499cb] + AdvancedPS v0.6.2 ⌅ [b5ca4192] + AdvancedVI v0.2.12 [66dad0bd] + AliasTables v1.1.3 [dce04be8] + ArgCheck v2.5.0 [4fba245c] + ArrayInterface v7.30.1 [a9b6321e] + Atomix v1.1.3 [13072b0f] + AxisAlgorithms v1.1.0 [39de3d68] + AxisArrays v0.4.8 [198e06fe] + BangBang v0.4.9 ⌅ [76274a88] + Bijectors v0.13.18 [49d1be55] + CRRao v0.1.1 [082447d4] + ChainRules v1.73.0 [d360d2e6] + ChainRulesCore v1.26.1 [9e997f8a] + ChangesOfVariables v0.1.11 [944b1d66] + CodecZlib v0.7.9 [861a8166] + Combinatorics v1.1.0 [38540f10] + CommonSolve v0.2.14 [bbf7d656] + CommonSubexpressions v0.3.1 [34da2185] + Compat v4.18.1 [a33af91c] + CompositionsBase v0.1.2 [88cd18e8] + ConsoleProgressMonitor v0.1.2 [187b0558] + ConstructionBase v1.6.0 [a8cc5b0e] + Crayons v4.2.0 [9a962f9c] + DataAPI v1.16.0 [a93c6f00] + DataFrames v1.8.2 ⌅ [864edb3b] + DataStructures v0.18.22 [e2d170a0] + DataValueInterfaces v1.0.0 [8bb1440f] + DelimitedFiles v1.9.1 [b429d917] + DensityInterface v0.4.0 [163ba53b] + DiffResults v1.1.0 [b552c78f] + DiffRules v1.16.0 [a0c0ee7d] + DifferentiationInterface v0.7.21 ⌃ [31c24e10] + Distributions v0.25.127 [ced4e74d] + DistributionsAD v0.6.58 [ffbed154] + DocStringExtensions v0.9.5 [e30172f5] + Documenter v1.19.0 ⌅ [366bfd00] + DynamicPPL v0.28.6 [cad2338a] + EllipticalSliceSampling v2.0.0 [4e289a0a] + EnumX v1.0.7 [e2ba6199] + ExprTools v0.1.11 [55351af7] + ExproniconLite v0.10.14 [b86e33f2] + FFTA v0.3.1 [1a297f60] + FillArrays v1.17.0 [6a86dc24] + FiniteDiff v2.33.0 ⌅ [f6369f11] + ForwardDiff v0.10.39 [069b7b12] + FunctionWrappers v1.1.3 ⌅ [77dc65aa] + FunctionWrappersWrappers v0.1.3 ⌅ [d9f16b24] + Functors v0.4.12 ⌃ [38e38edf] + GLM v1.8.3 [46192b85] + GPUArraysCore v0.2.0 ⌃ [a0844989] + Gamma v1.1.0 [d7ba0133] + Git v1.5.0 [076d061b] + HashArrayMappedTries v0.2.0 [34004b35] + HypergeometricFunctions v0.3.30 ⌅ [09f84164] + HypothesisTests v0.11.6 [b5f81e59] + IOCapture v1.0.0 [22cec73e] + InitialValues v0.3.1 ⌅ [842dd82b] + InlineStrings v1.4.6 [505f98c9] + InplaceOps v0.3.0 [18e54dd8] + IntegerMathUtils v0.1.4 [a98d9a8b] + Interpolations v0.16.3 [8197267c] + IntervalSets v0.7.14 [3587e190] + InverseFunctions v0.1.17 [41ab1584] + InvertedIndices v1.3.1 [92d709cd] + IrrationalConstants v0.2.6 [c8e1da08] + IterTools v1.10.0 [82899510] + IteratorInterfaceExtensions v1.0.0 [692b3bcd] + JLLWrappers v1.8.0 [682c06a0] + JSON v1.8.0 [ae98c720] + Jieko v0.2.1 [63c18a36] + KernelAbstractions v0.9.42 [5ab0869b] + KernelDensity v0.6.12 [5be7bae1] + LBFGSB v0.4.1 [8ac3fa9e] + LRUCache v1.6.2 [b964fa9f] + LaTeXStrings v1.4.1 [0e77f7df] + LazilyInitializedFields v1.3.0 [1d6d02ad] + LeftChildRightSiblingTrees v0.3.0 ⌅ [6f1fad26] + Libtask v0.8.8 ⌃ [d3d80556] + LineSearches v7.5.1 [6fdf6af0] + LogDensityProblems v2.2.0 [996a588d] + LogDensityProblemsAD v1.13.1 ⌅ [2ab3a3ac] + LogExpFunctions v0.3.29 [e6f89c97] + LoggingExtras v1.2.0 ⌅ [c7f686f2] + MCMCChains v6.0.7 ⌃ [be115224] + MCMCDiagnosticTools v0.3.15 [e80e1ace] + MLJModelInterface v1.12.1 [1914dd2f] + MacroTools v0.5.16 [dbb5928d] + MappedArrays v0.4.3 [d0879d2d] + MarkdownAST v0.1.3 [e1d29d7a] + Missings v1.2.0 [2e0e35c7] + Moshi v0.3.12 [46d2c3a1] + MuladdMacro v0.2.7 ⌅ [d41bc354] + NLSolversBase v7.10.0 ⌃ [872c559c] + NNlib v0.9.31 [77ba4419] + NaNMath v1.1.4 [86f7a689] + NamedArrays v0.10.5 [c020b1a1] + NaturalSort v1.0.0 [6fe1bfb0] + OffsetArrays v1.17.0 ⌅ [429524aa] + Optim v1.13.3 [3bd65402] + Optimisers v0.4.9 ⌅ [7f7a1694] + Optimization v3.26.3 ⌅ [bca83a33] + OptimizationBase v1.2.0 ⌅ [36348300] + OptimizationOptimJL v0.3.2 ⌅ [bac558e1] + OrderedCollections v1.8.2 ⌃ [90014a1f] + PDMats v0.11.35 [69de0a69] + Parsers v3.0.0 [2dfb63ee] + PooledArrays v1.4.3 [85a6dd25] + PositiveFactorizations v0.2.4 ⌅ [d236fae5] + PreallocationTools v0.4.34 [aea7be01] + PrecompileTools v1.3.4 [21216c6a] + Preferences v1.5.2 ⌅ [08abe8d2] + PrettyTables v2.4.0 [27ebfcd6] + Primes v0.5.7 [33c8b6b6] + ProgressLogging v0.1.6 [92933f4c] + ProgressMeter v1.11.0 [43287f4e] + PtrArrays v1.4.0 [1fd47b50] + QuadGK v2.11.3 [74087812] + Random123 v1.7.1 [e6cf234a] + RandomNumbers v1.6.0 [b3c3ace0] + RangeArrays v0.3.2 [c84ed2f1] + Ratios v0.4.5 [c1ae055f] + RealDot v0.1.0 [3cdcf5f2] + RecipesBase v1.3.4 ⌅ [731186ca] + RecursiveArrayTools v3.54.0 [189a3867] + Reexport v1.2.2 [2792f1a3] + RegistryInstances v0.1.0 [ae029012] + Requires v1.3.1 [79098fc4] + Rmath v0.9.0 ⌅ [f2b01f46] + Roots v2.3.0 [7e49a35a] + RuntimeGeneratedFunctions v0.5.26 ⌅ [26aad666] + SSMProblems v0.5.2 ⌅ [0bca4576] + SciMLBase v2.120.0 [c0aeaf25] + SciMLOperators v1.30.0 [431bcebd] + SciMLPublic v1.3.0 [53ae85a6] + SciMLStructures v1.10.5 [30f210dd] + ScientificTypesBase v3.1.0 [7e506255] + ScopedValues v1.6.2 [91c51154] + SentinelArrays v1.4.10 [efcf1570] + Setfield v1.1.2 [1277b4bf] + ShiftedArrays v2.0.0 [ce78b400] + SimpleUnPack v1.1.0 [a2af1166] + SortingAlgorithms v1.2.3 [dc90abb0] + SparseInverseSubset v0.1.3 [276daf66] + SpecialFunctions v2.9.0 [90137ffa] + StaticArrays v1.9.20 [1e83bf80] + StaticArraysCore v1.4.4 [64bff920] + StatisticalTraits v3.5.0 [10745b16] + Statistics v1.11.5 [82ae8749] + StatsAPI v1.8.0 ⌅ [2913bbd2] + StatsBase v0.33.21 ⌅ [4c63d2b9] + StatsFuns v1.5.3 ⌅ [3eaba693] + StatsModels v0.6.33 ⌅ [892a3eda] + StringManipulation v0.4.7 [09ab397b] + StructArrays v0.7.3 [ec057cc2] + StructUtils v2.8.5 ⌃ [2efcf032] + SymbolicIndexingInterface v0.3.44 [3783bdb8] + TableTraits v1.0.1 [bd369af6] + Tables v1.14.0 [5d786b92] + TerminalLoggers v0.1.8 [9f7883ad] + Tracker v0.2.39 [3bb67fe8] + TranscodingStreams v0.11.3 ⌅ [fce5fe82] + Turing v0.34.1 [013be700] + UnsafeAtomics v0.3.2 [efce3f68] + WoodburyMatrices v1.1.0 [700de1a5] + ZygoteRules v0.2.8 [2e619515] + Expat_jll v2.8.4+0 [020c3dae] + Git_LFS_jll v3.7.1+0 [f8c6e375] + Git_jll v2.55.0+0 [81d17ec3] + L_BFGS_B_jll v3.0.1+0 [94ce4f54] + Libiconv_jll v1.18.0+0 [9bd350c2] + OpenSSH_jll v10.5.1+0 [efe28fd5] + OpenSpecFun_jll v0.5.6+0 [f50d1b31] + Rmath_jll v0.5.2+0 [0dad84c5] + ArgTools v1.2.0 [56f22d72] + Artifacts v1.11.0 [2a0f44e3] + Base64 v1.11.0 [ade2ca70] + Dates v1.11.0 [8ba89e20] + Distributed v1.12.0 [f43a241f] + Downloads v1.7.0 [7b1f6079] + FileWatching v1.11.0 [9fa8497b] + Future v1.11.0 [b77e0a4c] + InteractiveUtils v1.11.0 [ac6e5ff7] + JuliaSyntaxHighlighting v1.13.0 [b27032c2] + LibCURL v1.0.0 [76f85450] + LibGit2 v1.11.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.14.0 [56ddb016] + Logging v1.11.0 [d6f4376e] + Markdown v1.11.0 [a63ad114] + Mmap v1.11.0 [ca575930] + NetworkOptions v1.3.0 [44cfe95a] + Pkg v1.14.0 [de0858da] + Printf v1.11.0 [3fa0cd96] + REPL v1.11.0 [9a3f8284] + Random v1.11.0 [ea8e919c] + SHA v1.13.0 [9e88b42a] + Serialization v1.11.0 [1a1011a3] + SharedArrays v1.11.0 [6462fe0b] + Sockets v1.11.0 [2f01184e] + SparseArrays v1.13.0 [f489334b] + StyledStrings v1.13.0 [4607b0f0] + SuiteSparse [fa267f1f] + TOML v1.0.3 [a4e569a6] + Tar v1.10.0 [8dfed614] + Test v1.11.0 [cf7118a7] + UUIDs v1.11.0 [4ec0a83e] + Unicode v1.11.0 [e66e0078] + CompilerSupportLibraries_jll v1.5.7+0 [deac9b47] + LibCURL_jll v8.22.0+0 [e37daf67] + LibGit2_jll v1.9.7+0 [29816b5a] + LibSSH2_jll v1.11.104+0 [14a3606d] + MozillaCACerts_jll v2026.8.13 [4536629a] + OpenBLAS_jll v0.3.34+0 [05823500] + OpenLibm_jll v0.8.8+0 [458c3c95] + OpenSSL_jll v3.5.8+0 [efcefdf7] + PCRE2_jll v10.48.0+0 [bea87d4a] + SuiteSparse_jll v7.10.1+0 [83775a58] + Zlib_jll v1.3.2+0 [3161d3a3] + Zstd_jll v1.5.7+1 [8e850b90] + libblastrampoline_jll v5.15.0+0 [8e850ede] + nghttp2_jll v1.70.0+0 [3f19e933] + p7zip_jll v17.8.2+0 Info Packages marked with ⌃ and ⌅ have new versions available. Those with ⌃ may be upgradable, but those with ⌅ are restricted by compatibility constraints from upgrading. To see why use `status --outdated -m` Installation completed after 16.84s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... ┌ Warning: Could not use exact versions of packages in manifest, re-resolving └ @ TestEnv ~/.julia/packages/TestEnv/sTG3E/src/julia-1.13/activate_set.jl:78 Precompiling package dependencies... Precompiling project... 6.7 s ✓ AbstractMCMC ┌ Warning: the bare singleton variant syntax `ContinuousClock` is deprecated, write `ContinuousClock()` instead (near /home/pkgeval/.julia/packages/SciMLBase/YE7xF/src/clock.jl:4) │ caller = ip:0x0 └ @ Core :-1 28.0 s ✓ SciMLBase 16.0 s ✓ RDatasets 6.2 s ✓ GLM 5.8 s ✓ HypothesisTests 10.3 s ✓ Bijectors 9.3 s ✓ DistributionsAD 5.5 s ✓ KernelDensity 4.3 s ✓ Tracker → TrackerPDMatsExt 3.2 s ✓ LogDensityProblemsAD → LogDensityProblemsADTrackerExt 3.0 s ✓ DifferentiationInterface → DifferentiationInterfaceTrackerExt 6.8 s ✓ AdvancedHMC 5.2 s ✓ SSMProblems 5.5 s ✓ AdvancedMH 4.6 s ✓ EllipticalSliceSampling 5.1 s ✓ AbstractPPL 5.2 s ✓ SciMLBase → SciMLBaseTrackerExt 3.9 s ✓ SciMLBase → SciMLBaseChainRulesCoreExt 4.1 s ✓ SciMLBase → SciMLBaseForwardDiffExt 6.0 s ✓ SciMLBase → SciMLBaseDistributionsExt 5.4 s ✓ OptimizationBase 7.7 s ✓ Bijectors → BijectorsTrackerExt 4.6 s ✓ Bijectors → BijectorsForwardDiffExt 4.6 s ✓ DistributionsAD → DistributionsADForwardDiffExt 7.6 s ✓ DistributionsAD → DistributionsADTrackerExt 4.5 s ✓ Bijectors → BijectorsDistributionsADExt 9.8 s ✓ MCMCChains 4.8 s ✓ AdvancedPS 4.5 s ✓ AdvancedMH → AdvancedMHStructArraysExt 4.3 s ✓ AdvancedMH → AdvancedMHForwardDiffExt 17.2 s ✓ DynamicPPL 5.2 s ✓ OptimizationBase → OptimizationFiniteDiffExt 6.0 s ✓ OptimizationBase → OptimizationTrackerExt 4.7 s ✓ OptimizationBase → OptimizationForwardDiffExt 8.4 s ✓ Optimization 6.3 s ✓ AdvancedVI 8.0 s ✓ AdvancedHMC → AdvancedHMCMCMCChainsExt 7.6 s ✓ AdvancedMH → AdvancedMHMCMCChainsExt 4.6 s ✓ AdvancedPS → AdvancedPSLibtaskExt 6.1 s ✓ DynamicPPL → DynamicPPLChainRulesCoreExt 8.4 s ✓ DynamicPPL → DynamicPPLMCMCChainsExt 5.5 s ✓ DynamicPPL → DynamicPPLForwardDiffExt 7.2 s ✓ DynamicPPL → DynamicPPLZygoteRulesExt 8.8 s ✓ OptimizationOptimJL 20.4 s ✓ Turing 15.8 s ✓ Turing → TuringOptimExt 28.0 s ✓ CRRao 47 dependencies successfully precompiled in 373 seconds. 314 already precompiled. 1 dependency had output during precompilation: ┌ SciMLBase │ ┌ Warning: the bare singleton variant syntax `ContinuousClock` is deprecated, write `ContinuousClock()` instead (near /home/pkgeval/.julia/packages/SciMLBase/YE7xF/src/clock.jl:4) │ │ caller = ip:0x0 │ └ @ Core :-1 └ Precompilation completed after 399.41s ################################################################################ # Testing # Testing CRRao Test Could not use exact versions of packages in manifest, re-resolving. Note: if you do not check your manifest file into source control, then you can probably ignore this message. However, if you do check your manifest file into source control, then you probably want to pass the `allow_reresolve = false` kwarg when calling the `Pkg.test` function. Updating `/tmp/jl_bwrow9/Project.toml` [49d1be55] + CRRao v0.1.1 [ce6b1742] + RDatasets v0.8.1 [860ef19b] + StableRNGs v1.0.4 Updating `/tmp/jl_bwrow9/Manifest.toml` [47edcb42] + ADTypes v1.24.0 [a4c015fc] + ANSIColoredPrinters v0.0.1 [621f4979] + AbstractFFTs v1.5.0 [80f14c24] + AbstractMCMC v5.16.0 ⌅ [7a57a42e] + AbstractPPL v0.8.4 [1520ce14] + AbstractTrees v0.4.5 [7d9f7c33] + Accessors v0.1.45 [79e6a3ab] + Adapt v4.7.0 ⌅ [0bf59076] + AdvancedHMC v0.6.4 [5b7e9947] + AdvancedMH v0.8.10 ⌅ [576499cb] + AdvancedPS v0.6.2 ⌅ [b5ca4192] + AdvancedVI v0.2.12 [dce04be8] + ArgCheck v2.5.0 [4fba245c] + ArrayInterface v7.30.1 [a9b6321e] + Atomix v1.1.3 [13072b0f] + AxisAlgorithms v1.1.0 [39de3d68] + AxisArrays v0.4.8 [198e06fe] + BangBang v0.4.9 ⌅ [76274a88] + Bijectors v0.13.18 [49d1be55] + CRRao v0.1.1 [336ed68f] + CSV v0.10.17 [324d7699] + CategoricalArrays v1.1.1 [082447d4] + ChainRules v1.73.0 [d360d2e6] + ChainRulesCore v1.26.1 [9e997f8a] + ChangesOfVariables v0.1.11 [944b1d66] + CodecZlib v0.7.9 [861a8166] + Combinatorics v1.1.0 [38540f10] + CommonSolve v0.2.14 [bbf7d656] + CommonSubexpressions v0.3.1 [a33af91c] + CompositionsBase v0.1.2 [88cd18e8] + ConsoleProgressMonitor v0.1.2 [187b0558] + ConstructionBase v1.6.0 [a8cc5b0e] + Crayons v4.2.0 [a93c6f00] + DataFrames v1.8.2 [8bb1440f] + DelimitedFiles v1.9.1 [b429d917] + DensityInterface v0.4.0 [163ba53b] + DiffResults v1.1.0 [b552c78f] + DiffRules v1.16.0 [a0c0ee7d] + DifferentiationInterface v0.7.21 [ced4e74d] + DistributionsAD v0.6.58 [e30172f5] + Documenter v1.19.0 ⌅ [366bfd00] + DynamicPPL v0.28.6 [cad2338a] + EllipticalSliceSampling v2.0.0 [4e289a0a] + EnumX v1.0.7 [e2ba6199] + ExprTools v0.1.11 [55351af7] + ExproniconLite v0.10.14 [b86e33f2] + FFTA v0.3.1 [5789e2e9] + FileIO v1.20.0 [48062228] + FilePathsBase v0.9.24 [6a86dc24] + FiniteDiff v2.33.0 ⌅ [f6369f11] + ForwardDiff v0.10.39 [069b7b12] + FunctionWrappers v1.1.3 ⌅ [77dc65aa] + FunctionWrappersWrappers v0.1.3 ⌅ [d9f16b24] + Functors v0.4.12 [46192b85] + GPUArraysCore v0.2.0 [d7ba0133] + Git v1.5.0 [076d061b] + HashArrayMappedTries v0.2.0 ⌅ [09f84164] + HypothesisTests v0.11.6 [b5f81e59] + IOCapture v1.0.0 [22cec73e] + InitialValues v0.3.1 ⌅ [842dd82b] + InlineStrings v1.4.6 [505f98c9] + InplaceOps v0.3.0 [18e54dd8] + IntegerMathUtils v0.1.4 [a98d9a8b] + Interpolations v0.16.3 [8197267c] + IntervalSets v0.7.14 [3587e190] + InverseFunctions v0.1.17 [41ab1584] + InvertedIndices v1.3.1 [c8e1da08] + IterTools v1.10.0 [682c06a0] + JSON v1.8.0 [ae98c720] + Jieko v0.2.1 [63c18a36] + KernelAbstractions v0.9.42 [5ab0869b] + KernelDensity v0.6.12 [5be7bae1] + LBFGSB v0.4.1 [8ac3fa9e] + LRUCache v1.6.2 [b964fa9f] + LaTeXStrings v1.4.1 [0e77f7df] + LazilyInitializedFields v1.3.0 [1d6d02ad] + LeftChildRightSiblingTrees v0.3.0 ⌅ [6f1fad26] + Libtask v0.8.8 ⌃ [d3d80556] + LineSearches v7.5.1 [6fdf6af0] + LogDensityProblems v2.2.0 [996a588d] + LogDensityProblemsAD v1.13.1 [e6f89c97] + LoggingExtras v1.2.0 ⌅ [c7f686f2] + MCMCChains v6.0.7 ⌃ [be115224] + MCMCDiagnosticTools v0.3.15 [e80e1ace] + MLJModelInterface v1.12.1 [1914dd2f] + MacroTools v0.5.16 [dbb5928d] + MappedArrays v0.4.3 [d0879d2d] + MarkdownAST v0.1.3 [78c3b35d] + Mocking v0.8.1 [2e0e35c7] + Moshi v0.3.12 [46d2c3a1] + MuladdMacro v0.2.7 ⌅ [d41bc354] + NLSolversBase v7.10.0 ⌃ [872c559c] + NNlib v0.9.31 [77ba4419] + NaNMath v1.1.4 [86f7a689] + NamedArrays v0.10.5 [c020b1a1] + NaturalSort v1.0.0 [6fe1bfb0] + OffsetArrays v1.17.0 ⌅ [429524aa] + Optim v1.13.3 [3bd65402] + Optimisers v0.4.9 ⌅ [7f7a1694] + Optimization v3.26.3 ⌅ [bca83a33] + OptimizationBase v1.2.0 ⌅ [36348300] + OptimizationOptimJL v0.3.2 ⌅ [69de0a69] + Parsers v2.8.8 [2dfb63ee] + PooledArrays v1.4.3 [85a6dd25] + PositiveFactorizations v0.2.4 ⌅ [d236fae5] + PreallocationTools v0.4.34 [aea7be01] + PrecompileTools v1.3.4 ⌅ [08abe8d2] + PrettyTables v2.4.0 [27ebfcd6] + Primes v0.5.7 [33c8b6b6] + ProgressLogging v0.1.6 [92933f4c] + ProgressMeter v1.11.0 [df47a6cb] + RData v1.1.0 [ce6b1742] + RDatasets v0.8.1 [74087812] + Random123 v1.7.1 [e6cf234a] + RandomNumbers v1.6.0 [b3c3ace0] + RangeArrays v0.3.2 [c84ed2f1] + Ratios v0.4.5 [c1ae055f] + RealDot v0.1.0 [3cdcf5f2] + RecipesBase v1.3.4 ⌅ [731186ca] + RecursiveArrayTools v3.54.0 [2792f1a3] + RegistryInstances v0.1.0 [ae029012] + Requires v1.3.1 ⌅ [f2b01f46] + Roots v2.3.0 [7e49a35a] + RuntimeGeneratedFunctions v0.5.26 ⌅ [26aad666] + SSMProblems v0.5.2 ⌅ [0bca4576] + SciMLBase v2.120.0 [c0aeaf25] + SciMLOperators v1.30.0 [431bcebd] + SciMLPublic v1.3.0 [53ae85a6] + SciMLStructures v1.10.5 [30f210dd] + ScientificTypesBase v3.1.0 [7e506255] + ScopedValues v1.6.2 [6c6a2e73] + Scratch v1.3.0 [91c51154] + SentinelArrays v1.4.10 [efcf1570] + Setfield v1.1.2 [ce78b400] + SimpleUnPack v1.1.0 [dc90abb0] + SparseInverseSubset v0.1.3 [860ef19b] + StableRNGs v1.0.4 [90137ffa] + StaticArrays v1.9.20 [1e83bf80] + StaticArraysCore v1.4.4 [64bff920] + StatisticalTraits v3.5.0 ⌅ [892a3eda] + StringManipulation v0.4.7 [09ab397b] + 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Those with ⌃ may be upgradable, but those with ⌅ are restricted by compatibility constraints from upgrading. To see why use `status --outdated -m` Test Successfully re-resolved Status `/tmp/jl_bwrow9/Project.toml` [49d1be55] CRRao v0.1.1 ⌃ [38e38edf] GLM v1.8.3 [ce6b1742] RDatasets v0.8.1 [860ef19b] StableRNGs v1.0.4 [10745b16] Statistics v1.11.5 ⌅ [3eaba693] StatsModels v0.6.33 [56ddb016] Logging v1.11.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_bwrow9/Manifest.toml` [47edcb42] ADTypes v1.24.0 [a4c015fc] ANSIColoredPrinters v0.0.1 [621f4979] AbstractFFTs v1.5.0 [80f14c24] AbstractMCMC v5.16.0 ⌅ [7a57a42e] AbstractPPL v0.8.4 [1520ce14] AbstractTrees v0.4.5 [7d9f7c33] Accessors v0.1.45 [79e6a3ab] Adapt v4.7.0 ⌅ [0bf59076] AdvancedHMC v0.6.4 [5b7e9947] AdvancedMH v0.8.10 ⌅ [576499cb] AdvancedPS v0.6.2 ⌅ [b5ca4192] AdvancedVI v0.2.12 [66dad0bd] AliasTables v1.1.3 [dce04be8] ArgCheck v2.5.0 [4fba245c] ArrayInterface v7.30.1 [a9b6321e] Atomix v1.1.3 [13072b0f] AxisAlgorithms v1.1.0 [39de3d68] AxisArrays v0.4.8 [198e06fe] BangBang v0.4.9 ⌅ [76274a88] Bijectors v0.13.18 [49d1be55] CRRao v0.1.1 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[76f85450] LibGit2 v1.11.0 [8f399da3] Libdl v1.11.0 [37e2e46d] LinearAlgebra v1.14.0 [56ddb016] Logging v1.11.0 [d6f4376e] Markdown v1.11.0 [a63ad114] Mmap v1.11.0 [ca575930] NetworkOptions v1.3.0 [44cfe95a] Pkg v1.14.0 [de0858da] Printf v1.11.0 [3fa0cd96] REPL v1.11.0 [9a3f8284] Random v1.11.0 [ea8e919c] SHA v1.13.0 [9e88b42a] Serialization v1.11.0 [1a1011a3] SharedArrays v1.11.0 [6462fe0b] Sockets v1.11.0 [2f01184e] SparseArrays v1.13.0 [f489334b] StyledStrings v1.13.0 [4607b0f0] SuiteSparse [fa267f1f] TOML v1.0.3 [a4e569a6] Tar v1.10.0 [8dfed614] Test v1.11.0 [cf7118a7] UUIDs v1.11.0 [4ec0a83e] Unicode v1.11.0 [e66e0078] CompilerSupportLibraries_jll v1.5.7+0 [deac9b47] LibCURL_jll v8.22.0+0 [e37daf67] LibGit2_jll v1.9.7+0 [29816b5a] LibSSH2_jll v1.11.104+0 [14a3606d] MozillaCACerts_jll v2026.8.13 [4536629a] OpenBLAS_jll v0.3.34+0 [05823500] OpenLibm_jll v0.8.8+0 [458c3c95] OpenSSL_jll v3.5.8+0 [efcefdf7] PCRE2_jll v10.48.0+0 [bea87d4a] SuiteSparse_jll v7.10.1+0 [83775a58] Zlib_jll v1.3.2+0 [3161d3a3] Zstd_jll v1.5.7+1 [8e850b90] libblastrampoline_jll v5.15.0+0 [8e850ede] nghttp2_jll v1.70.0+0 [3f19e933] p7zip_jll v17.8.2+0 Info Packages marked with ⌃ and ⌅ have new versions available. Those with ⌃ may be upgradable, but those with ⌅ are restricted by compatibility constraints from upgrading. Testing Running tests... Logistic Regression: Error During Test at /home/pkgeval/.julia/packages/CRRao/8l32U/test/runtests.jl:14 Got exception outside of a @test LoadError: MethodError: no method matching StatsModels.ContrastsMatrix(::Matrix{Float64}, ::CategoricalArrays.CategoricalVector{String, UInt8, String, CategoricalArrays.CategoricalValue{String, UInt8}, Union{}}, ::Vector{CategoricalArrays.CategoricalValue{String, UInt8}}, ::DummyCoding) The type `StatsModels.ContrastsMatrix` exists, but no method is defined for this combination of argument types when trying to construct it. Closest candidates are: StatsModels.ContrastsMatrix(::AbstractMatrix, !Matched::Vector{U}, ::Vector{T}, ::C) where {U, T, C<:AbstractContrasts} @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/contrasts.jl:110 StatsModels.ContrastsMatrix(!Matched::StatsModels.FullDummyCoding, ::AbstractVector{T}) where T @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/contrasts.jl:283 StatsModels.ContrastsMatrix(!Matched::C, ::AbstractVector{T}) where {C<:AbstractContrasts, T} @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/contrasts.jl:158 ... Stacktrace: [1] StatsModels.ContrastsMatrix(contrasts::DummyCoding, levels::CategoricalArrays.CategoricalVector{String, UInt8, String, CategoricalArrays.CategoricalValue{String, UInt8}, Union{}}) @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/contrasts.jl:205 [2] concrete_term(t::Term, xs::CategoricalArrays.CategoricalVector{String, UInt8, String, CategoricalArrays.CategoricalValue{String, UInt8}, Union{}}, contrasts::DummyCoding) @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/schema.jl:212 [3] concrete_term(t::Term, xs::CategoricalArrays.CategoricalVector{String, UInt8, String, CategoricalArrays.CategoricalValue{String, UInt8}, Union{}}, ::Core.TypeEgal{CategoricalTerm}) @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/schema.jl:206 [inlined] [4] concrete_term(t::Term, xs::CategoricalArrays.CategoricalVector{String, UInt8, String, CategoricalArrays.CategoricalValue{String, UInt8}, Union{}}, ::Nothing) @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/schema.jl:205 [5] concrete_term(t::Term, dt::@NamedTuple{Vote::Vector{Int32}, Age::Vector{Int32}, Race::CategoricalArrays.CategoricalVector{String, UInt8, String, CategoricalArrays.CategoricalValue{String, UInt8}, Union{}}, Income::Vector{Float64}, Educate::Vector{Float64}}, hints::Dict{Symbol, Any}) @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/schema.jl:184 [6] (::StatsModels.var"#schema##0#schema##1"{@NamedTuple{Vote::Vector{Int32}, Age::Vector{Int32}, Race::CategoricalArrays.CategoricalVector{String, UInt8, String, CategoricalArrays.CategoricalValue{String, UInt8}, Union{}}, Income::Vector{Float64}, Educate::Vector{Float64}}, Dict{Symbol, Any}})(t::Term) @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/schema.jl:122 [7] iterate(g::Base.Generator{Vector{Term}, StatsModels.var"#schema##0#schema##1"{@NamedTuple{Vote::Vector{Int32}, Age::Vector{Int32}, Race::CategoricalArrays.CategoricalVector{String, UInt8, String, CategoricalArrays.CategoricalValue{String, UInt8}, Union{}}, Income::Vector{Float64}, Educate::Vector{Float64}}, Dict{Symbol, Any}}}, s::Int64) @ Base generator.jl:49 [inlined] [8] Dict{Term, AbstractTerm}(kv::Base.Generator{Vector{Term}, StatsModels.var"#schema##0#schema##1"{@NamedTuple{Vote::Vector{Int32}, Age::Vector{Int32}, Race::CategoricalArrays.CategoricalVector{String, UInt8, String, CategoricalArrays.CategoricalValue{String, UInt8}, Union{}}, Income::Vector{Float64}, Educate::Vector{Float64}}, Dict{Symbol, Any}}}) @ Base dict.jl:95 [9] StatsModels.Schema(x::Base.Generator{Vector{Term}, StatsModels.var"#schema##0#schema##1"{@NamedTuple{Vote::Vector{Int32}, Age::Vector{Int32}, Race::CategoricalArrays.CategoricalVector{String, UInt8, String, CategoricalArrays.CategoricalValue{String, UInt8}, Union{}}, Income::Vector{Float64}, Educate::Vector{Float64}}, Dict{Symbol, Any}}}) @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/schema.jl:37 [inlined] [10] schema(ts::Vector{Term}, dt::@NamedTuple{Vote::Vector{Int32}, Age::Vector{Int32}, Race::CategoricalArrays.CategoricalVector{String, UInt8, String, CategoricalArrays.CategoricalValue{String, UInt8}, Union{}}, Income::Vector{Float64}, Educate::Vector{Float64}}, hints::Dict{Symbol, Any}) @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/schema.jl:122 [inlined] [11] schema(f::FormulaTerm{Term, NTuple{4, Term}}, data::@NamedTuple{Vote::Vector{Int32}, Age::Vector{Int32}, Race::CategoricalArrays.CategoricalVector{String, UInt8, String, CategoricalArrays.CategoricalValue{String, UInt8}, Union{}}, Income::Vector{Float64}, Educate::Vector{Float64}}, hints::Dict{Symbol, Any}) @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/schema.jl:126 [12] ModelFrame(f::FormulaTerm{Term, NTuple{4, Term}}, data::@NamedTuple{Race::CategoricalArrays.CategoricalVector{String, UInt8, String, CategoricalArrays.CategoricalValue{String, UInt8}, Union{}}, Age::Vector{Int32}, Educate::Vector{Float64}, Income::Vector{Float64}, Vote::Vector{Int32}}; model::Core.TypeEgal{GeneralizedLinearModel}, contrasts::Dict{Symbol, Any}) @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/modelframe.jl:83 [13] fit(::Core.TypeEgal{GeneralizedLinearModel}, ::FormulaTerm{Term, NTuple{4, Term}}, ::DataFrame, ::Binomial{Float64}, ::LogitLink; contrasts::Dict{Symbol, Any}, kwargs::@Kwargs{}) @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/statsmodel.jl:85 [14] fit(::Core.TypeEgal{GeneralizedLinearModel}, ::FormulaTerm{Term, NTuple{4, Term}}, ::DataFrame, ::Binomial{Float64}, ::LogitLink) @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/statsmodel.jl:78 [inlined] [15] glm(::FormulaTerm{Term, NTuple{4, Term}}, ::DataFrame, ::Binomial{Float64}, ::LogitLink; kwargs::@Kwargs{}) @ GLM ~/.julia/packages/GLM/6ycOV/src/glmfit.jl:604 [inlined] [16] logistic_reg(formula::FormulaTerm{Term, NTuple{4, Term}}, data::DataFrame, Link::LogitLink; kwargs::@Kwargs{}) @ CRRao ~/.julia/packages/CRRao/8l32U/src/frequentist/logistic_regression.jl:2 [inlined] [17] logistic_reg(formula::FormulaTerm{Term, NTuple{4, Term}}, data::DataFrame, Link::LogitLink) @ CRRao ~/.julia/packages/CRRao/8l32U/src/frequentist/logistic_regression.jl:1 [inlined] [18] fit(formula::FormulaTerm{Term, NTuple{4, Term}}, data::DataFrame, modelClass::LogisticRegression, Link::Logit; kwargs::@Kwargs{}) @ CRRao ~/.julia/packages/CRRao/8l32U/src/frequentist/logistic_regression.jl:74 [inlined] [19] fit(formula::FormulaTerm{Term, NTuple{4, Term}}, data::DataFrame, modelClass::LogisticRegression, Link::Logit) @ CRRao ~/.julia/packages/CRRao/8l32U/src/frequentist/logistic_regression.jl:67 [20] top-level scope @ ~/.julia/packages/CRRao/8l32U/test/basic/LogisticRegression.jl:14 [21] include(mapexpr::Function, mod::Module, _path::String) @ Base Base.jl:335 [22] top-level scope @ ~/.julia/packages/CRRao/8l32U/test/runtests.jl:9 [23] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2252 [inlined] [24] macro expansion @ ~/.julia/packages/CRRao/8l32U/test/runtests.jl:10 [inlined] [25] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2252 [inlined] [26] macro expansion @ ~/.julia/packages/CRRao/8l32U/test/runtests.jl:15 [inlined] [27] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2252 [inlined] [28] macro expansion @ ~/.julia/packages/CRRao/8l32U/test/runtests.jl:15 [inlined] in expression starting at /home/pkgeval/.julia/packages/CRRao/8l32U/test/basic/LogisticRegression.jl:12 Poisson Regression: Error During Test at /home/pkgeval/.julia/packages/CRRao/8l32U/test/runtests.jl:18 Got exception outside of a @test LoadError: MethodError: no method matching StatsModels.ContrastsMatrix(::Matrix{Float64}, ::CategoricalArrays.CategoricalVector{String, UInt8, String, CategoricalArrays.CategoricalValue{String, UInt8}, Union{}}, ::Vector{CategoricalArrays.CategoricalValue{String, UInt8}}, ::DummyCoding) The type `StatsModels.ContrastsMatrix` exists, but no method is defined for this combination of argument types when trying to construct it. Closest candidates are: StatsModels.ContrastsMatrix(::AbstractMatrix, !Matched::Vector{U}, ::Vector{T}, ::C) where {U, T, C<:AbstractContrasts} @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/contrasts.jl:110 StatsModels.ContrastsMatrix(!Matched::StatsModels.FullDummyCoding, ::AbstractVector{T}) where T @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/contrasts.jl:283 StatsModels.ContrastsMatrix(!Matched::C, ::AbstractVector{T}) where {C<:AbstractContrasts, T} @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/contrasts.jl:158 ... Stacktrace: [1] StatsModels.ContrastsMatrix(contrasts::DummyCoding, levels::CategoricalArrays.CategoricalVector{String, UInt8, String, CategoricalArrays.CategoricalValue{String, UInt8}, Union{}}) @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/contrasts.jl:205 [2] concrete_term(t::Term, xs::CategoricalArrays.CategoricalVector{String, UInt8, String, CategoricalArrays.CategoricalValue{String, UInt8}, Union{}}, contrasts::DummyCoding) @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/schema.jl:212 [3] concrete_term(t::Term, xs::CategoricalArrays.CategoricalVector{String, UInt8, String, CategoricalArrays.CategoricalValue{String, UInt8}, Union{}}, ::Core.TypeEgal{CategoricalTerm}) @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/schema.jl:206 [inlined] [4] concrete_term(t::Term, xs::CategoricalArrays.CategoricalVector{String, UInt8, String, CategoricalArrays.CategoricalValue{String, UInt8}, Union{}}, ::Nothing) @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/schema.jl:205 [5] concrete_term(t::Term, dt::@NamedTuple{Num::Vector{Int32}, Target::Vector{Int32}, Coop::Vector{Int32}, NCost::CategoricalArrays.CategoricalVector{String, UInt8, String, CategoricalArrays.CategoricalValue{String, UInt8}, Union{}}}, hints::Dict{Symbol, Any}) @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/schema.jl:184 [6] (::StatsModels.var"#schema##0#schema##1"{@NamedTuple{Num::Vector{Int32}, Target::Vector{Int32}, Coop::Vector{Int32}, NCost::CategoricalArrays.CategoricalVector{String, UInt8, String, CategoricalArrays.CategoricalValue{String, UInt8}, Union{}}}, Dict{Symbol, Any}})(t::Term) @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/schema.jl:122 [7] iterate(g::Base.Generator{Vector{Term}, StatsModels.var"#schema##0#schema##1"{@NamedTuple{Num::Vector{Int32}, Target::Vector{Int32}, Coop::Vector{Int32}, NCost::CategoricalArrays.CategoricalVector{String, UInt8, String, CategoricalArrays.CategoricalValue{String, UInt8}, Union{}}}, Dict{Symbol, Any}}}, s::Int64) @ Base generator.jl:49 [inlined] [8] Dict{Term, AbstractTerm}(kv::Base.Generator{Vector{Term}, StatsModels.var"#schema##0#schema##1"{@NamedTuple{Num::Vector{Int32}, Target::Vector{Int32}, Coop::Vector{Int32}, NCost::CategoricalArrays.CategoricalVector{String, UInt8, String, CategoricalArrays.CategoricalValue{String, UInt8}, Union{}}}, Dict{Symbol, Any}}}) @ Base dict.jl:95 [9] StatsModels.Schema(x::Base.Generator{Vector{Term}, StatsModels.var"#schema##0#schema##1"{@NamedTuple{Num::Vector{Int32}, Target::Vector{Int32}, Coop::Vector{Int32}, NCost::CategoricalArrays.CategoricalVector{String, UInt8, String, CategoricalArrays.CategoricalValue{String, UInt8}, Union{}}}, Dict{Symbol, Any}}}) @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/schema.jl:37 [inlined] [10] schema(ts::Vector{Term}, dt::@NamedTuple{Num::Vector{Int32}, Target::Vector{Int32}, Coop::Vector{Int32}, NCost::CategoricalArrays.CategoricalVector{String, UInt8, String, CategoricalArrays.CategoricalValue{String, UInt8}, Union{}}}, hints::Dict{Symbol, Any}) @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/schema.jl:122 [inlined] [11] schema(f::FormulaTerm{Term, Tuple{Term, Term, Term}}, data::@NamedTuple{Num::Vector{Int32}, Target::Vector{Int32}, Coop::Vector{Int32}, NCost::CategoricalArrays.CategoricalVector{String, UInt8, String, CategoricalArrays.CategoricalValue{String, UInt8}, Union{}}}, hints::Dict{Symbol, Any}) @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/schema.jl:126 [12] ModelFrame(f::FormulaTerm{Term, Tuple{Term, Term, Term}}, data::@NamedTuple{Mil::Vector{Int32}, Coop::Vector{Int32}, Target::Vector{Int32}, Import::Vector{Int32}, Export::Vector{Int32}, Cost::Vector{Int32}, Num::Vector{Int32}, NCost::CategoricalArrays.CategoricalVector{String, UInt8, String, CategoricalArrays.CategoricalValue{String, UInt8}, Union{}}}; model::Core.TypeEgal{GeneralizedLinearModel}, contrasts::Dict{Symbol, Any}) @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/modelframe.jl:83 [13] fit(::Core.TypeEgal{GeneralizedLinearModel}, ::FormulaTerm{Term, Tuple{Term, Term, Term}}, ::DataFrame, ::Poisson{Float64}, ::LogLink; contrasts::Dict{Symbol, Any}, kwargs::@Kwargs{}) @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/statsmodel.jl:85 [14] fit(::Core.TypeEgal{GeneralizedLinearModel}, ::FormulaTerm{Term, Tuple{Term, Term, Term}}, ::DataFrame, ::Poisson{Float64}, ::LogLink) @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/statsmodel.jl:78 [inlined] [15] glm(::FormulaTerm{Term, Tuple{Term, Term, Term}}, ::DataFrame, ::Poisson{Float64}, ::LogLink; kwargs::@Kwargs{}) @ GLM ~/.julia/packages/GLM/6ycOV/src/glmfit.jl:604 [inlined] [16] poisson_reg(formula::FormulaTerm{Term, Tuple{Term, Term, Term}}, data::DataFrame, Link::LogLink; kwargs::@Kwargs{}) @ CRRao ~/.julia/packages/CRRao/8l32U/src/frequentist/poisson_regression.jl:2 [inlined] [17] poisson_reg(formula::FormulaTerm{Term, Tuple{Term, Term, Term}}, data::DataFrame, Link::LogLink) @ CRRao ~/.julia/packages/CRRao/8l32U/src/frequentist/poisson_regression.jl:1 [inlined] [18] fit(formula::FormulaTerm{Term, Tuple{Term, Term, Term}}, data::DataFrame, modelClass::PoissonRegression; kwargs::@Kwargs{}) @ CRRao ~/.julia/packages/CRRao/8l32U/src/frequentist/poisson_regression.jl:53 [inlined] [19] fit(formula::FormulaTerm{Term, Tuple{Term, Term, Term}}, data::DataFrame, modelClass::PoissonRegression) @ CRRao ~/.julia/packages/CRRao/8l32U/src/frequentist/poisson_regression.jl:52 [20] top-level scope @ ~/.julia/packages/CRRao/8l32U/test/basic/PoissonRegression.jl:10 [21] include(mapexpr::Function, mod::Module, _path::String) @ Base Base.jl:335 [22] top-level scope @ ~/.julia/packages/CRRao/8l32U/test/runtests.jl:9 [23] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2252 [inlined] [24] macro expansion @ ~/.julia/packages/CRRao/8l32U/test/runtests.jl:10 [inlined] [25] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2252 [inlined] [26] macro expansion @ ~/.julia/packages/CRRao/8l32U/test/runtests.jl:19 [inlined] [27] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2252 [inlined] [28] macro expansion @ ~/.julia/packages/CRRao/8l32U/test/runtests.jl:19 [inlined] in expression starting at /home/pkgeval/.julia/packages/CRRao/8l32U/test/basic/PoissonRegression.jl:10 Frequentist NegativeBinomial Regression: Error During Test at /home/pkgeval/.julia/packages/CRRao/8l32U/test/basic/NegBinomialRegression.jl:12 Got exception outside of a @test MethodError: no method matching StatsModels.ContrastsMatrix(::Matrix{Float64}, ::CategoricalArrays.CategoricalVector{String, UInt8, String, CategoricalArrays.CategoricalValue{String, UInt8}, Union{}}, ::Vector{CategoricalArrays.CategoricalValue{String, UInt8}}, ::DummyCoding) The type `StatsModels.ContrastsMatrix` exists, but no method is defined for this combination of argument types when trying to construct it. Closest candidates are: StatsModels.ContrastsMatrix(::AbstractMatrix, !Matched::Vector{U}, ::Vector{T}, ::C) where {U, T, C<:AbstractContrasts} @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/contrasts.jl:110 StatsModels.ContrastsMatrix(!Matched::StatsModels.FullDummyCoding, ::AbstractVector{T}) where T @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/contrasts.jl:283 StatsModels.ContrastsMatrix(!Matched::C, ::AbstractVector{T}) where {C<:AbstractContrasts, T} @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/contrasts.jl:158 ... Stacktrace: [1] StatsModels.ContrastsMatrix(contrasts::DummyCoding, levels::CategoricalArrays.CategoricalVector{String, UInt8, String, CategoricalArrays.CategoricalValue{String, UInt8}, Union{}}) @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/contrasts.jl:205 [2] concrete_term(t::Term, xs::CategoricalArrays.CategoricalVector{String, UInt8, String, CategoricalArrays.CategoricalValue{String, UInt8}, Union{}}, contrasts::DummyCoding) @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/schema.jl:212 [3] concrete_term(t::Term, xs::CategoricalArrays.CategoricalVector{String, UInt8, String, CategoricalArrays.CategoricalValue{String, UInt8}, Union{}}, ::Core.TypeEgal{CategoricalTerm}) @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/schema.jl:206 [inlined] [4] concrete_term(t::Term, xs::CategoricalArrays.CategoricalVector{String, UInt8, String, CategoricalArrays.CategoricalValue{String, UInt8}, Union{}}, ::Nothing) @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/schema.jl:205 [5] concrete_term(t::Term, dt::@NamedTuple{Num::Vector{Int32}, Target::Vector{Int32}, Coop::Vector{Int32}, NCost::CategoricalArrays.CategoricalVector{String, UInt8, String, CategoricalArrays.CategoricalValue{String, UInt8}, Union{}}}, hints::Dict{Symbol, Any}) @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/schema.jl:184 [6] (::StatsModels.var"#schema##0#schema##1"{@NamedTuple{Num::Vector{Int32}, Target::Vector{Int32}, Coop::Vector{Int32}, NCost::CategoricalArrays.CategoricalVector{String, UInt8, String, CategoricalArrays.CategoricalValue{String, UInt8}, Union{}}}, Dict{Symbol, Any}})(t::Term) @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/schema.jl:122 [7] iterate(g::Base.Generator{Vector{Term}, StatsModels.var"#schema##0#schema##1"{@NamedTuple{Num::Vector{Int32}, Target::Vector{Int32}, Coop::Vector{Int32}, NCost::CategoricalArrays.CategoricalVector{String, UInt8, String, CategoricalArrays.CategoricalValue{String, UInt8}, Union{}}}, Dict{Symbol, Any}}}, s::Int64) @ Base generator.jl:49 [inlined] [8] Dict{Term, AbstractTerm}(kv::Base.Generator{Vector{Term}, StatsModels.var"#schema##0#schema##1"{@NamedTuple{Num::Vector{Int32}, Target::Vector{Int32}, Coop::Vector{Int32}, NCost::CategoricalArrays.CategoricalVector{String, UInt8, String, CategoricalArrays.CategoricalValue{String, UInt8}, Union{}}}, Dict{Symbol, Any}}}) @ Base dict.jl:95 [9] StatsModels.Schema(x::Base.Generator{Vector{Term}, StatsModels.var"#schema##0#schema##1"{@NamedTuple{Num::Vector{Int32}, Target::Vector{Int32}, Coop::Vector{Int32}, NCost::CategoricalArrays.CategoricalVector{String, UInt8, String, CategoricalArrays.CategoricalValue{String, UInt8}, Union{}}}, Dict{Symbol, Any}}}) @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/schema.jl:37 [inlined] [10] schema(ts::Vector{Term}, dt::@NamedTuple{Num::Vector{Int32}, Target::Vector{Int32}, Coop::Vector{Int32}, NCost::CategoricalArrays.CategoricalVector{String, UInt8, String, CategoricalArrays.CategoricalValue{String, UInt8}, Union{}}}, hints::Dict{Symbol, Any}) @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/schema.jl:122 [inlined] [11] schema(f::FormulaTerm{Term, Tuple{Term, Term, Term}}, data::@NamedTuple{Num::Vector{Int32}, Target::Vector{Int32}, Coop::Vector{Int32}, NCost::CategoricalArrays.CategoricalVector{String, UInt8, String, CategoricalArrays.CategoricalValue{String, UInt8}, Union{}}}, hints::Dict{Symbol, Any}) @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/schema.jl:126 [12] ModelFrame(f::FormulaTerm{Term, Tuple{Term, Term, Term}}, data::@NamedTuple{Mil::Vector{Int32}, Coop::Vector{Int32}, Target::Vector{Int32}, Import::Vector{Int32}, Export::Vector{Int32}, Cost::Vector{Int32}, Num::Vector{Int32}, NCost::CategoricalArrays.CategoricalVector{String, UInt8, String, CategoricalArrays.CategoricalValue{String, UInt8}, Union{}}}; model::Core.TypeEgal{GeneralizedLinearModel}, contrasts::Dict{Symbol, Any}) @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/modelframe.jl:83 [13] fit(::Core.TypeEgal{GeneralizedLinearModel}, ::FormulaTerm{Term, Tuple{Term, Term, Term}}, ::DataFrame, ::Poisson{Float64}, ::LogLink; contrasts::Dict{Symbol, Any}, kwargs::@Kwargs{maxiter::Int64, atol::Float64, rtol::Float64, verbose::Bool}) @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/statsmodel.jl:85 [14] glm(::FormulaTerm{Term, Tuple{Term, Term, Term}}, ::DataFrame, ::Poisson{Float64}, ::LogLink; kwargs::@Kwargs{maxiter::Int64, atol::Float64, rtol::Float64, verbose::Bool}) @ GLM ~/.julia/packages/GLM/6ycOV/src/glmfit.jl:604 [inlined] [15] negbin(F::FormulaTerm{Term, Tuple{Term, Term, Term}}, D::DataFrame, args::LogLink; initialθ::Float64, maxiter::Int64, minstepfac::Float64, atol::Float64, rtol::Float64, verbose::Bool, kwargs::@Kwargs{}) @ GLM ~/.julia/packages/GLM/6ycOV/src/negbinfit.jl:105 [16] negbin(F::FormulaTerm{Term, Tuple{Term, Term, Term}}, D::DataFrame, args::LogLink) @ GLM ~/.julia/packages/GLM/6ycOV/src/negbinfit.jl:68 [inlined] [17] negativebinomial_reg(formula::FormulaTerm{Term, Tuple{Term, Term, Term}}, data::DataFrame, Link::LogLink; kwargs::@Kwargs{}) @ CRRao ~/.julia/packages/CRRao/8l32U/src/frequentist/negativebinomial_regression.jl:2 [inlined] [18] negativebinomial_reg(formula::FormulaTerm{Term, Tuple{Term, Term, Term}}, data::DataFrame, Link::LogLink) @ CRRao ~/.julia/packages/CRRao/8l32U/src/frequentist/negativebinomial_regression.jl:1 [inlined] [19] fit(formula::FormulaTerm{Term, Tuple{Term, Term, Term}}, data::DataFrame, modelClass::NegBinomRegression; kwargs::@Kwargs{}) @ CRRao ~/.julia/packages/CRRao/8l32U/src/frequentist/negativebinomial_regression.jl:53 [inlined] [20] fit(formula::FormulaTerm{Term, Tuple{Term, Term, Term}}, data::DataFrame, modelClass::NegBinomRegression) @ CRRao ~/.julia/packages/CRRao/8l32U/src/frequentist/negativebinomial_regression.jl:52 [21] top-level scope @ ~/.julia/packages/CRRao/8l32U/test/basic/NegBinomialRegression.jl:13 [22] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2252 [inlined] [23] macro expansion @ ~/.julia/packages/CRRao/8l32U/test/basic/NegBinomialRegression.jl:13 [inlined] Negative Binomial Regression: Error During Test at /home/pkgeval/.julia/packages/CRRao/8l32U/test/runtests.jl:22 Got exception outside of a @test LoadError: MethodError: no method matching StatsModels.ContrastsMatrix(::Matrix{Float64}, ::CategoricalArrays.CategoricalVector{String, UInt8, String, CategoricalArrays.CategoricalValue{String, UInt8}, Union{}}, ::Vector{CategoricalArrays.CategoricalValue{String, UInt8}}, ::DummyCoding) The type `StatsModels.ContrastsMatrix` exists, but no method is defined for this combination of argument types when trying to construct it. Closest candidates are: StatsModels.ContrastsMatrix(::AbstractMatrix, !Matched::Vector{U}, ::Vector{T}, ::C) where {U, T, C<:AbstractContrasts} @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/contrasts.jl:110 StatsModels.ContrastsMatrix(!Matched::StatsModels.FullDummyCoding, ::AbstractVector{T}) where T @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/contrasts.jl:283 StatsModels.ContrastsMatrix(!Matched::C, ::AbstractVector{T}) where {C<:AbstractContrasts, T} @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/contrasts.jl:158 ... Stacktrace: [1] StatsModels.ContrastsMatrix(contrasts::DummyCoding, levels::CategoricalArrays.CategoricalVector{String, UInt8, String, CategoricalArrays.CategoricalValue{String, UInt8}, Union{}}) @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/contrasts.jl:205 [2] concrete_term(t::Term, xs::CategoricalArrays.CategoricalVector{String, UInt8, String, CategoricalArrays.CategoricalValue{String, UInt8}, Union{}}, contrasts::DummyCoding) @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/schema.jl:212 [3] concrete_term(t::Term, xs::CategoricalArrays.CategoricalVector{String, UInt8, String, CategoricalArrays.CategoricalValue{String, UInt8}, Union{}}, ::Core.TypeEgal{CategoricalTerm}) @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/schema.jl:206 [inlined] [4] concrete_term(t::Term, xs::CategoricalArrays.CategoricalVector{String, UInt8, String, CategoricalArrays.CategoricalValue{String, UInt8}, Union{}}, ::Nothing) @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/schema.jl:205 [5] concrete_term(t::Term, dt::@NamedTuple{Mil::Vector{Int32}, Coop::Vector{Int32}, Target::Vector{Int32}, Import::Vector{Int32}, Export::Vector{Int32}, Cost::Vector{Int32}, Num::Vector{Int32}, NCost::CategoricalArrays.CategoricalVector{String, UInt8, String, CategoricalArrays.CategoricalValue{String, UInt8}, Union{}}}, hints::Dict{Symbol, Any}) @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/schema.jl:184 [6] (::StatsModels.var"#schema##0#schema##1"{@NamedTuple{Mil::Vector{Int32}, Coop::Vector{Int32}, Target::Vector{Int32}, Import::Vector{Int32}, Export::Vector{Int32}, Cost::Vector{Int32}, Num::Vector{Int32}, NCost::CategoricalArrays.CategoricalVector{String, UInt8, String, CategoricalArrays.CategoricalValue{String, UInt8}, Union{}}}, Dict{Symbol, Any}})(t::Term) @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/schema.jl:122 [7] iterate(g::Base.Generator{Vector{Term}, StatsModels.var"#schema##0#schema##1"{@NamedTuple{Mil::Vector{Int32}, Coop::Vector{Int32}, Target::Vector{Int32}, Import::Vector{Int32}, Export::Vector{Int32}, Cost::Vector{Int32}, Num::Vector{Int32}, NCost::CategoricalArrays.CategoricalVector{String, UInt8, String, CategoricalArrays.CategoricalValue{String, UInt8}, Union{}}}, Dict{Symbol, Any}}}, s::Int64) @ Base generator.jl:49 [inlined] [8] Dict{Term, AbstractTerm}(kv::Base.Generator{Vector{Term}, StatsModels.var"#schema##0#schema##1"{@NamedTuple{Mil::Vector{Int32}, Coop::Vector{Int32}, Target::Vector{Int32}, Import::Vector{Int32}, Export::Vector{Int32}, Cost::Vector{Int32}, Num::Vector{Int32}, NCost::CategoricalArrays.CategoricalVector{String, UInt8, String, CategoricalArrays.CategoricalValue{String, UInt8}, Union{}}}, Dict{Symbol, Any}}}) @ Base dict.jl:95 [9] StatsModels.Schema(x::Base.Generator{Vector{Term}, StatsModels.var"#schema##0#schema##1"{@NamedTuple{Mil::Vector{Int32}, Coop::Vector{Int32}, Target::Vector{Int32}, Import::Vector{Int32}, Export::Vector{Int32}, Cost::Vector{Int32}, Num::Vector{Int32}, NCost::CategoricalArrays.CategoricalVector{String, UInt8, String, CategoricalArrays.CategoricalValue{String, UInt8}, Union{}}}, Dict{Symbol, Any}}}) @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/schema.jl:37 [inlined] [10] schema(ts::Vector{Term}, dt::@NamedTuple{Mil::Vector{Int32}, Coop::Vector{Int32}, Target::Vector{Int32}, Import::Vector{Int32}, Export::Vector{Int32}, Cost::Vector{Int32}, Num::Vector{Int32}, NCost::CategoricalArrays.CategoricalVector{String, UInt8, String, CategoricalArrays.CategoricalValue{String, UInt8}, Union{}}}, hints::Dict{Symbol, Any}) @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/schema.jl:122 [11] schema(ts::Vector{Term}, data::DataFrame, hints::Dict{Symbol, Any}) @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/schema.jl:118 [12] schema(f::FormulaTerm{Term, Tuple{Term, Term, Term}}, data::DataFrame, hints::Dict{Symbol, Any}) @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/schema.jl:126 [13] schema(f::FormulaTerm{Term, Tuple{Term, Term, Term}}, data::DataFrame) @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/schema.jl:129 [inlined] [14] negativebinomial_reg(formula::FormulaTerm{Term, Tuple{Term, Term, Term}}, data::DataFrame, turingModel::CRRao.var"#NegativeBinomialRegression#fit##12"{Float64}, sim_size::Int64) @ CRRao ~/.julia/packages/CRRao/8l32U/src/bayesian/negativebinomial_regression.jl:7 [15] fit(formula::FormulaTerm{Term, Tuple{Term, Term, Term}}, data::DataFrame, modelClass::NegBinomRegression, prior::Prior_Ridge, h::Float64, sim_size::Int64) @ CRRao ~/.julia/packages/CRRao/8l32U/src/bayesian/negativebinomial_regression.jl:129 [16] fit(formula::FormulaTerm{Term, Tuple{Term, Term, Term}}, data::DataFrame, modelClass::NegBinomRegression, prior::Prior_Ridge) @ CRRao ~/.julia/packages/CRRao/8l32U/src/bayesian/negativebinomial_regression.jl:109 [17] top-level scope @ ~/.julia/packages/CRRao/8l32U/test/basic/NegBinomialRegression.jl:24 [18] include(mapexpr::Function, mod::Module, _path::String) @ Base Base.jl:335 [19] top-level scope @ ~/.julia/packages/CRRao/8l32U/test/runtests.jl:9 [20] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2252 [inlined] [21] macro expansion @ ~/.julia/packages/CRRao/8l32U/test/runtests.jl:10 [inlined] [22] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2252 [inlined] [23] macro expansion @ ~/.julia/packages/CRRao/8l32U/test/runtests.jl:23 [inlined] [24] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2252 [inlined] [25] macro expansion @ ~/.julia/packages/CRRao/8l32U/test/runtests.jl:23 [inlined] in expression starting at /home/pkgeval/.julia/packages/CRRao/8l32U/test/basic/NegBinomialRegression.jl:22 Logistic Regression: Error During Test at /home/pkgeval/.julia/packages/CRRao/8l32U/test/numerical/frequentist/tests.jl:10 Got exception outside of a @test LoadError: MethodError: no method matching StatsModels.ContrastsMatrix(::Matrix{Float64}, ::CategoricalArrays.CategoricalVector{String, UInt8, String, CategoricalArrays.CategoricalValue{String, UInt8}, Union{}}, ::Vector{CategoricalArrays.CategoricalValue{String, UInt8}}, ::DummyCoding) The type `StatsModels.ContrastsMatrix` exists, but no method is defined for this combination of argument types when trying to construct it. Closest candidates are: StatsModels.ContrastsMatrix(::AbstractMatrix, !Matched::Vector{U}, ::Vector{T}, ::C) where {U, T, C<:AbstractContrasts} @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/contrasts.jl:110 StatsModels.ContrastsMatrix(!Matched::StatsModels.FullDummyCoding, ::AbstractVector{T}) where T @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/contrasts.jl:283 StatsModels.ContrastsMatrix(!Matched::C, ::AbstractVector{T}) where {C<:AbstractContrasts, T} @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/contrasts.jl:158 ... Stacktrace: [1] StatsModels.ContrastsMatrix(contrasts::DummyCoding, levels::CategoricalArrays.CategoricalVector{String, UInt8, String, CategoricalArrays.CategoricalValue{String, UInt8}, Union{}}) @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/contrasts.jl:205 [2] concrete_term(t::Term, xs::CategoricalArrays.CategoricalVector{String, UInt8, String, CategoricalArrays.CategoricalValue{String, UInt8}, Union{}}, contrasts::DummyCoding) @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/schema.jl:212 [3] concrete_term(t::Term, xs::CategoricalArrays.CategoricalVector{String, UInt8, String, CategoricalArrays.CategoricalValue{String, UInt8}, Union{}}, ::Core.TypeEgal{CategoricalTerm}) @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/schema.jl:206 [inlined] [4] concrete_term(t::Term, xs::CategoricalArrays.CategoricalVector{String, UInt8, String, CategoricalArrays.CategoricalValue{String, UInt8}, Union{}}, ::Nothing) @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/schema.jl:205 [5] concrete_term(t::Term, dt::@NamedTuple{Vote::Vector{Int32}, Age::Vector{Int32}, Race::CategoricalArrays.CategoricalVector{String, UInt8, String, CategoricalArrays.CategoricalValue{String, UInt8}, Union{}}, Income::Vector{Float64}, Educate::Vector{Float64}}, hints::Dict{Symbol, Any}) @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/schema.jl:184 [6] (::StatsModels.var"#schema##0#schema##1"{@NamedTuple{Vote::Vector{Int32}, Age::Vector{Int32}, Race::CategoricalArrays.CategoricalVector{String, UInt8, String, CategoricalArrays.CategoricalValue{String, UInt8}, Union{}}, Income::Vector{Float64}, Educate::Vector{Float64}}, Dict{Symbol, Any}})(t::Term) @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/schema.jl:122 [7] iterate(g::Base.Generator{Vector{Term}, StatsModels.var"#schema##0#schema##1"{@NamedTuple{Vote::Vector{Int32}, Age::Vector{Int32}, Race::CategoricalArrays.CategoricalVector{String, UInt8, String, CategoricalArrays.CategoricalValue{String, UInt8}, Union{}}, Income::Vector{Float64}, Educate::Vector{Float64}}, Dict{Symbol, Any}}}, s::Int64) @ Base generator.jl:49 [inlined] [8] Dict{Term, AbstractTerm}(kv::Base.Generator{Vector{Term}, StatsModels.var"#schema##0#schema##1"{@NamedTuple{Vote::Vector{Int32}, Age::Vector{Int32}, Race::CategoricalArrays.CategoricalVector{String, UInt8, String, CategoricalArrays.CategoricalValue{String, UInt8}, Union{}}, Income::Vector{Float64}, Educate::Vector{Float64}}, Dict{Symbol, Any}}}) @ Base dict.jl:95 [9] StatsModels.Schema(x::Base.Generator{Vector{Term}, StatsModels.var"#schema##0#schema##1"{@NamedTuple{Vote::Vector{Int32}, Age::Vector{Int32}, Race::CategoricalArrays.CategoricalVector{String, UInt8, String, CategoricalArrays.CategoricalValue{String, UInt8}, Union{}}, Income::Vector{Float64}, Educate::Vector{Float64}}, Dict{Symbol, Any}}}) @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/schema.jl:37 [inlined] [10] schema(ts::Vector{Term}, dt::@NamedTuple{Vote::Vector{Int32}, Age::Vector{Int32}, Race::CategoricalArrays.CategoricalVector{String, UInt8, String, CategoricalArrays.CategoricalValue{String, UInt8}, Union{}}, Income::Vector{Float64}, Educate::Vector{Float64}}, hints::Dict{Symbol, Any}) @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/schema.jl:122 [inlined] [11] schema(f::FormulaTerm{Term, NTuple{4, Term}}, data::@NamedTuple{Vote::Vector{Int32}, Age::Vector{Int32}, Race::CategoricalArrays.CategoricalVector{String, UInt8, String, CategoricalArrays.CategoricalValue{String, UInt8}, Union{}}, Income::Vector{Float64}, Educate::Vector{Float64}}, hints::Dict{Symbol, Any}) @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/schema.jl:126 [12] ModelFrame(f::FormulaTerm{Term, NTuple{4, Term}}, data::@NamedTuple{Race::CategoricalArrays.CategoricalVector{String, UInt8, String, CategoricalArrays.CategoricalValue{String, UInt8}, Union{}}, Age::Vector{Int32}, Educate::Vector{Float64}, Income::Vector{Float64}, Vote::Vector{Int32}}; model::Core.TypeEgal{GeneralizedLinearModel}, contrasts::Dict{Symbol, Any}) @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/modelframe.jl:83 [13] fit(::Core.TypeEgal{GeneralizedLinearModel}, ::FormulaTerm{Term, NTuple{4, Term}}, ::DataFrame, ::Binomial{Float64}, ::LogitLink; contrasts::Dict{Symbol, Any}, kwargs::@Kwargs{wts::Vector{Float64}}) @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/statsmodel.jl:85 [14] glm(::FormulaTerm{Term, NTuple{4, Term}}, ::DataFrame, ::Binomial{Float64}, ::LogitLink; kwargs::@Kwargs{wts::Vector{Float64}}) @ GLM ~/.julia/packages/GLM/6ycOV/src/glmfit.jl:604 [inlined] [15] logistic_reg(formula::FormulaTerm{Term, NTuple{4, Term}}, data::DataFrame, Link::LogitLink; kwargs::@Kwargs{wts::Vector{Float64}}) @ CRRao ~/.julia/packages/CRRao/8l32U/src/frequentist/logistic_regression.jl:2 [inlined] [16] fit(formula::FormulaTerm{Term, NTuple{4, Term}}, data::DataFrame, modelClass::LogisticRegression, Link::Logit; kwargs::@Kwargs{wts::Vector{Float64}}) @ CRRao ~/.julia/packages/CRRao/8l32U/src/frequentist/logistic_regression.jl:74 [inlined] [17] top-level scope @ ~/.julia/packages/CRRao/8l32U/test/numerical/frequentist/LogisticRegression.jl:33 [18] include(mapexpr::Function, mod::Module, _path::String) @ Base Base.jl:335 [19] top-level scope @ ~/.julia/packages/CRRao/8l32U/test/numerical/frequentist/tests.jl:11 [20] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2252 [inlined] [21] macro expansion @ ~/.julia/packages/CRRao/8l32U/test/numerical/frequentist/tests.jl:11 [inlined] in expression starting at /home/pkgeval/.julia/packages/CRRao/8l32U/test/numerical/frequentist/LogisticRegression.jl:31 Poisson Regression: Error During Test at /home/pkgeval/.julia/packages/CRRao/8l32U/test/numerical/frequentist/tests.jl:14 Got exception outside of a @test LoadError: MethodError: no method matching StatsModels.ContrastsMatrix(::Matrix{Float64}, ::CategoricalArrays.CategoricalVector{String, UInt8, String, CategoricalArrays.CategoricalValue{String, UInt8}, Union{}}, ::Vector{CategoricalArrays.CategoricalValue{String, UInt8}}, ::DummyCoding) The type `StatsModels.ContrastsMatrix` exists, but no method is defined for this combination of argument types when trying to construct it. Closest candidates are: StatsModels.ContrastsMatrix(::AbstractMatrix, !Matched::Vector{U}, ::Vector{T}, ::C) where {U, T, C<:AbstractContrasts} @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/contrasts.jl:110 StatsModels.ContrastsMatrix(!Matched::StatsModels.FullDummyCoding, ::AbstractVector{T}) where T @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/contrasts.jl:283 StatsModels.ContrastsMatrix(!Matched::C, ::AbstractVector{T}) where {C<:AbstractContrasts, T} @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/contrasts.jl:158 ... Stacktrace: [1] StatsModels.ContrastsMatrix(contrasts::DummyCoding, levels::CategoricalArrays.CategoricalVector{String, UInt8, String, CategoricalArrays.CategoricalValue{String, UInt8}, Union{}}) @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/contrasts.jl:205 [2] concrete_term(t::Term, xs::CategoricalArrays.CategoricalVector{String, UInt8, String, CategoricalArrays.CategoricalValue{String, UInt8}, Union{}}, contrasts::DummyCoding) @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/schema.jl:212 [3] concrete_term(t::Term, xs::CategoricalArrays.CategoricalVector{String, UInt8, String, CategoricalArrays.CategoricalValue{String, UInt8}, Union{}}, ::Core.TypeEgal{CategoricalTerm}) @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/schema.jl:206 [inlined] [4] concrete_term(t::Term, xs::CategoricalArrays.CategoricalVector{String, UInt8, String, CategoricalArrays.CategoricalValue{String, UInt8}, Union{}}, ::Nothing) @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/schema.jl:205 [5] concrete_term(t::Term, dt::@NamedTuple{Num::Vector{Int32}, Target::Vector{Int32}, Coop::Vector{Int32}, NCost::CategoricalArrays.CategoricalVector{String, UInt8, String, CategoricalArrays.CategoricalValue{String, UInt8}, Union{}}}, hints::Dict{Symbol, Any}) @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/schema.jl:184 [6] (::StatsModels.var"#schema##0#schema##1"{@NamedTuple{Num::Vector{Int32}, Target::Vector{Int32}, Coop::Vector{Int32}, NCost::CategoricalArrays.CategoricalVector{String, UInt8, String, CategoricalArrays.CategoricalValue{String, UInt8}, Union{}}}, Dict{Symbol, Any}})(t::Term) @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/schema.jl:122 [7] iterate(g::Base.Generator{Vector{Term}, StatsModels.var"#schema##0#schema##1"{@NamedTuple{Num::Vector{Int32}, Target::Vector{Int32}, Coop::Vector{Int32}, NCost::CategoricalArrays.CategoricalVector{String, UInt8, String, CategoricalArrays.CategoricalValue{String, UInt8}, Union{}}}, Dict{Symbol, Any}}}, s::Int64) @ Base generator.jl:49 [inlined] [8] Dict{Term, AbstractTerm}(kv::Base.Generator{Vector{Term}, StatsModels.var"#schema##0#schema##1"{@NamedTuple{Num::Vector{Int32}, Target::Vector{Int32}, Coop::Vector{Int32}, NCost::CategoricalArrays.CategoricalVector{String, UInt8, String, CategoricalArrays.CategoricalValue{String, UInt8}, Union{}}}, Dict{Symbol, Any}}}) @ Base dict.jl:95 [9] StatsModels.Schema(x::Base.Generator{Vector{Term}, StatsModels.var"#schema##0#schema##1"{@NamedTuple{Num::Vector{Int32}, Target::Vector{Int32}, Coop::Vector{Int32}, NCost::CategoricalArrays.CategoricalVector{String, UInt8, String, CategoricalArrays.CategoricalValue{String, UInt8}, Union{}}}, Dict{Symbol, Any}}}) @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/schema.jl:37 [inlined] [10] schema(ts::Vector{Term}, dt::@NamedTuple{Num::Vector{Int32}, Target::Vector{Int32}, Coop::Vector{Int32}, NCost::CategoricalArrays.CategoricalVector{String, UInt8, String, CategoricalArrays.CategoricalValue{String, UInt8}, Union{}}}, hints::Dict{Symbol, Any}) @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/schema.jl:122 [inlined] [11] schema(f::FormulaTerm{Term, Tuple{Term, Term, Term}}, data::@NamedTuple{Num::Vector{Int32}, Target::Vector{Int32}, Coop::Vector{Int32}, NCost::CategoricalArrays.CategoricalVector{String, UInt8, String, CategoricalArrays.CategoricalValue{String, UInt8}, Union{}}}, hints::Dict{Symbol, Any}) @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/schema.jl:126 [12] ModelFrame(f::FormulaTerm{Term, Tuple{Term, Term, Term}}, data::@NamedTuple{Mil::Vector{Int32}, Coop::Vector{Int32}, Target::Vector{Int32}, Import::Vector{Int32}, Export::Vector{Int32}, Cost::Vector{Int32}, Num::Vector{Int32}, NCost::CategoricalArrays.CategoricalVector{String, UInt8, String, CategoricalArrays.CategoricalValue{String, UInt8}, Union{}}}; model::Core.TypeEgal{GeneralizedLinearModel}, contrasts::Dict{Symbol, Any}) @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/modelframe.jl:83 [13] fit(::Core.TypeEgal{GeneralizedLinearModel}, ::FormulaTerm{Term, Tuple{Term, Term, Term}}, ::DataFrame, ::Poisson{Float64}, ::LogLink; contrasts::Dict{Symbol, Any}, kwargs::@Kwargs{wts::Vector{Float64}}) @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/statsmodel.jl:85 [14] glm(::FormulaTerm{Term, Tuple{Term, Term, Term}}, ::DataFrame, ::Poisson{Float64}, ::LogLink; kwargs::@Kwargs{wts::Vector{Float64}}) @ GLM ~/.julia/packages/GLM/6ycOV/src/glmfit.jl:604 [inlined] [15] poisson_reg(formula::FormulaTerm{Term, Tuple{Term, Term, Term}}, data::DataFrame, Link::LogLink; kwargs::@Kwargs{wts::Vector{Float64}}) @ CRRao ~/.julia/packages/CRRao/8l32U/src/frequentist/poisson_regression.jl:2 [inlined] [16] fit(formula::FormulaTerm{Term, Tuple{Term, Term, Term}}, data::DataFrame, modelClass::PoissonRegression; kwargs::@Kwargs{wts::Vector{Float64}}) @ CRRao ~/.julia/packages/CRRao/8l32U/src/frequentist/poisson_regression.jl:53 [inlined] [17] top-level scope @ ~/.julia/packages/CRRao/8l32U/test/numerical/frequentist/PoissonRegression.jl:13 [18] include(mapexpr::Function, mod::Module, _path::String) @ Base Base.jl:335 [19] top-level scope @ ~/.julia/packages/CRRao/8l32U/test/numerical/frequentist/tests.jl:15 [20] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2252 [inlined] [21] macro expansion @ ~/.julia/packages/CRRao/8l32U/test/numerical/frequentist/tests.jl:15 [inlined] in expression starting at /home/pkgeval/.julia/packages/CRRao/8l32U/test/numerical/frequentist/PoissonRegression.jl:12 Negative Binomial Regression: Error During Test at /home/pkgeval/.julia/packages/CRRao/8l32U/test/numerical/frequentist/tests.jl:18 Got exception outside of a @test LoadError: MethodError: no method matching StatsModels.ContrastsMatrix(::Matrix{Float64}, ::CategoricalArrays.CategoricalVector{String, UInt8, String, CategoricalArrays.CategoricalValue{String, UInt8}, Union{}}, ::Vector{CategoricalArrays.CategoricalValue{String, UInt8}}, ::DummyCoding) The type `StatsModels.ContrastsMatrix` exists, but no method is defined for this combination of argument types when trying to construct it. Closest candidates are: StatsModels.ContrastsMatrix(::AbstractMatrix, !Matched::Vector{U}, ::Vector{T}, ::C) where {U, T, C<:AbstractContrasts} @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/contrasts.jl:110 StatsModels.ContrastsMatrix(!Matched::StatsModels.FullDummyCoding, ::AbstractVector{T}) where T @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/contrasts.jl:283 StatsModels.ContrastsMatrix(!Matched::C, ::AbstractVector{T}) where {C<:AbstractContrasts, T} @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/contrasts.jl:158 ... Stacktrace: [1] StatsModels.ContrastsMatrix(contrasts::DummyCoding, levels::CategoricalArrays.CategoricalVector{String, UInt8, String, CategoricalArrays.CategoricalValue{String, UInt8}, Union{}}) @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/contrasts.jl:205 [2] concrete_term(t::Term, xs::CategoricalArrays.CategoricalVector{String, UInt8, String, CategoricalArrays.CategoricalValue{String, UInt8}, Union{}}, contrasts::DummyCoding) @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/schema.jl:212 [3] concrete_term(t::Term, xs::CategoricalArrays.CategoricalVector{String, UInt8, String, CategoricalArrays.CategoricalValue{String, UInt8}, Union{}}, ::Core.TypeEgal{CategoricalTerm}) @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/schema.jl:206 [inlined] [4] concrete_term(t::Term, xs::CategoricalArrays.CategoricalVector{String, UInt8, String, CategoricalArrays.CategoricalValue{String, UInt8}, Union{}}, ::Nothing) @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/schema.jl:205 [5] concrete_term(t::Term, dt::@NamedTuple{Num::Vector{Int32}, Target::Vector{Int32}, Coop::Vector{Int32}, NCost::CategoricalArrays.CategoricalVector{String, UInt8, String, CategoricalArrays.CategoricalValue{String, UInt8}, Union{}}}, hints::Dict{Symbol, Any}) @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/schema.jl:184 [6] (::StatsModels.var"#schema##0#schema##1"{@NamedTuple{Num::Vector{Int32}, Target::Vector{Int32}, Coop::Vector{Int32}, NCost::CategoricalArrays.CategoricalVector{String, UInt8, String, CategoricalArrays.CategoricalValue{String, UInt8}, Union{}}}, Dict{Symbol, Any}})(t::Term) @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/schema.jl:122 [7] iterate(g::Base.Generator{Vector{Term}, StatsModels.var"#schema##0#schema##1"{@NamedTuple{Num::Vector{Int32}, Target::Vector{Int32}, Coop::Vector{Int32}, NCost::CategoricalArrays.CategoricalVector{String, UInt8, String, CategoricalArrays.CategoricalValue{String, UInt8}, Union{}}}, Dict{Symbol, Any}}}, s::Int64) @ Base generator.jl:49 [inlined] [8] Dict{Term, AbstractTerm}(kv::Base.Generator{Vector{Term}, StatsModels.var"#schema##0#schema##1"{@NamedTuple{Num::Vector{Int32}, Target::Vector{Int32}, Coop::Vector{Int32}, NCost::CategoricalArrays.CategoricalVector{String, UInt8, String, CategoricalArrays.CategoricalValue{String, UInt8}, Union{}}}, Dict{Symbol, Any}}}) @ Base dict.jl:95 [9] StatsModels.Schema(x::Base.Generator{Vector{Term}, StatsModels.var"#schema##0#schema##1"{@NamedTuple{Num::Vector{Int32}, Target::Vector{Int32}, Coop::Vector{Int32}, NCost::CategoricalArrays.CategoricalVector{String, UInt8, String, CategoricalArrays.CategoricalValue{String, UInt8}, Union{}}}, Dict{Symbol, Any}}}) @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/schema.jl:37 [inlined] [10] schema(ts::Vector{Term}, dt::@NamedTuple{Num::Vector{Int32}, Target::Vector{Int32}, Coop::Vector{Int32}, NCost::CategoricalArrays.CategoricalVector{String, UInt8, String, CategoricalArrays.CategoricalValue{String, UInt8}, Union{}}}, hints::Dict{Symbol, Any}) @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/schema.jl:122 [inlined] [11] schema(f::FormulaTerm{Term, Tuple{Term, Term, Term}}, data::@NamedTuple{Num::Vector{Int32}, Target::Vector{Int32}, Coop::Vector{Int32}, NCost::CategoricalArrays.CategoricalVector{String, UInt8, String, CategoricalArrays.CategoricalValue{String, UInt8}, Union{}}}, hints::Dict{Symbol, Any}) @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/schema.jl:126 [12] ModelFrame(f::FormulaTerm{Term, Tuple{Term, Term, Term}}, data::@NamedTuple{Mil::Vector{Int32}, Coop::Vector{Int32}, Target::Vector{Int32}, Import::Vector{Int32}, Export::Vector{Int32}, Cost::Vector{Int32}, Num::Vector{Int32}, NCost::CategoricalArrays.CategoricalVector{String, UInt8, String, CategoricalArrays.CategoricalValue{String, UInt8}, Union{}}}; model::Core.TypeEgal{GeneralizedLinearModel}, contrasts::Dict{Symbol, Any}) @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/modelframe.jl:83 [13] fit(::Core.TypeEgal{GeneralizedLinearModel}, ::FormulaTerm{Term, Tuple{Term, Term, Term}}, ::DataFrame, ::Poisson{Float64}, ::LogLink; contrasts::Dict{Symbol, Any}, kwargs::@Kwargs{maxiter::Int64, atol::Float64, rtol::Float64, verbose::Bool}) @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/statsmodel.jl:85 [14] glm(::FormulaTerm{Term, Tuple{Term, Term, Term}}, ::DataFrame, ::Poisson{Float64}, ::LogLink; kwargs::@Kwargs{maxiter::Int64, atol::Float64, rtol::Float64, verbose::Bool}) @ GLM ~/.julia/packages/GLM/6ycOV/src/glmfit.jl:604 [inlined] [15] negbin(F::FormulaTerm{Term, Tuple{Term, Term, Term}}, D::DataFrame, args::LogLink; initialθ::Float64, maxiter::Int64, minstepfac::Float64, atol::Float64, rtol::Float64, verbose::Bool, kwargs::@Kwargs{}) @ GLM ~/.julia/packages/GLM/6ycOV/src/negbinfit.jl:105 [16] negativebinomial_reg(formula::FormulaTerm{Term, Tuple{Term, Term, Term}}, data::DataFrame, Link::LogLink; kwargs::@Kwargs{atol::Float64}) @ CRRao ~/.julia/packages/CRRao/8l32U/src/frequentist/negativebinomial_regression.jl:2 [inlined] [17] fit(formula::FormulaTerm{Term, Tuple{Term, Term, Term}}, data::DataFrame, modelClass::NegBinomRegression; kwargs::@Kwargs{atol::Float64}) @ CRRao ~/.julia/packages/CRRao/8l32U/src/frequentist/negativebinomial_regression.jl:53 [inlined] [18] top-level scope @ ~/.julia/packages/CRRao/8l32U/test/numerical/frequentist/NegBinomialRegression.jl:11 [19] include(mapexpr::Function, mod::Module, _path::String) @ Base Base.jl:335 [20] top-level scope @ ~/.julia/packages/CRRao/8l32U/test/numerical/frequentist/tests.jl:19 [21] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2252 [inlined] [22] macro expansion @ ~/.julia/packages/CRRao/8l32U/test/numerical/frequentist/tests.jl:19 [inlined] in expression starting at /home/pkgeval/.julia/packages/CRRao/8l32U/test/numerical/frequentist/NegBinomialRegression.jl:10 Logistic Regression: Error During Test at /home/pkgeval/.julia/packages/CRRao/8l32U/test/runtests.jl:41 Got exception outside of a @test LoadError: MethodError: no method matching StatsModels.ContrastsMatrix(::Matrix{Float64}, ::CategoricalArrays.CategoricalVector{String, UInt8, String, CategoricalArrays.CategoricalValue{String, UInt8}, Union{}}, ::Vector{CategoricalArrays.CategoricalValue{String, UInt8}}, ::DummyCoding) The type `StatsModels.ContrastsMatrix` exists, but no method is defined for this combination of argument types when trying to construct it. Closest candidates are: StatsModels.ContrastsMatrix(::AbstractMatrix, !Matched::Vector{U}, ::Vector{T}, ::C) where {U, T, C<:AbstractContrasts} @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/contrasts.jl:110 StatsModels.ContrastsMatrix(!Matched::StatsModels.FullDummyCoding, ::AbstractVector{T}) where T @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/contrasts.jl:283 StatsModels.ContrastsMatrix(!Matched::C, ::AbstractVector{T}) where {C<:AbstractContrasts, T} @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/contrasts.jl:158 ... Stacktrace: [1] StatsModels.ContrastsMatrix(contrasts::DummyCoding, levels::CategoricalArrays.CategoricalVector{String, UInt8, String, CategoricalArrays.CategoricalValue{String, UInt8}, Union{}}) @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/contrasts.jl:205 [2] concrete_term(t::Term, xs::CategoricalArrays.CategoricalVector{String, UInt8, String, CategoricalArrays.CategoricalValue{String, UInt8}, Union{}}, contrasts::DummyCoding) @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/schema.jl:212 [3] concrete_term(t::Term, xs::CategoricalArrays.CategoricalVector{String, UInt8, String, CategoricalArrays.CategoricalValue{String, UInt8}, Union{}}, ::Core.TypeEgal{CategoricalTerm}) @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/schema.jl:206 [inlined] [4] concrete_term(t::Term, xs::CategoricalArrays.CategoricalVector{String, UInt8, String, CategoricalArrays.CategoricalValue{String, UInt8}, Union{}}, ::Nothing) @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/schema.jl:205 [5] concrete_term(t::Term, dt::@NamedTuple{Race::CategoricalArrays.CategoricalVector{String, UInt8, String, CategoricalArrays.CategoricalValue{String, UInt8}, Union{}}, Age::Vector{Int32}, Educate::Vector{Float64}, Income::Vector{Float64}, Vote::Vector{Int32}}, hints::Dict{Symbol, Any}) @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/schema.jl:184 [6] (::StatsModels.var"#schema##0#schema##1"{@NamedTuple{Race::CategoricalArrays.CategoricalVector{String, UInt8, String, CategoricalArrays.CategoricalValue{String, UInt8}, Union{}}, Age::Vector{Int32}, Educate::Vector{Float64}, Income::Vector{Float64}, Vote::Vector{Int32}}, Dict{Symbol, Any}})(t::Term) @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/schema.jl:122 [7] iterate(g::Base.Generator{Vector{Term}, StatsModels.var"#schema##0#schema##1"{@NamedTuple{Race::CategoricalArrays.CategoricalVector{String, UInt8, String, CategoricalArrays.CategoricalValue{String, UInt8}, Union{}}, Age::Vector{Int32}, Educate::Vector{Float64}, Income::Vector{Float64}, Vote::Vector{Int32}}, Dict{Symbol, Any}}}, s::Int64) @ Base generator.jl:49 [inlined] [8] Dict{Term, AbstractTerm}(kv::Base.Generator{Vector{Term}, StatsModels.var"#schema##0#schema##1"{@NamedTuple{Race::CategoricalArrays.CategoricalVector{String, UInt8, String, CategoricalArrays.CategoricalValue{String, UInt8}, Union{}}, Age::Vector{Int32}, Educate::Vector{Float64}, Income::Vector{Float64}, Vote::Vector{Int32}}, Dict{Symbol, Any}}}) @ Base dict.jl:95 [9] StatsModels.Schema(x::Base.Generator{Vector{Term}, StatsModels.var"#schema##0#schema##1"{@NamedTuple{Race::CategoricalArrays.CategoricalVector{String, UInt8, String, CategoricalArrays.CategoricalValue{String, UInt8}, Union{}}, Age::Vector{Int32}, Educate::Vector{Float64}, Income::Vector{Float64}, Vote::Vector{Int32}}, Dict{Symbol, Any}}}) @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/schema.jl:37 [inlined] [10] schema(ts::Vector{Term}, dt::@NamedTuple{Race::CategoricalArrays.CategoricalVector{String, UInt8, String, CategoricalArrays.CategoricalValue{String, UInt8}, Union{}}, Age::Vector{Int32}, Educate::Vector{Float64}, Income::Vector{Float64}, Vote::Vector{Int32}}, hints::Dict{Symbol, Any}) @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/schema.jl:122 [11] schema(ts::Vector{Term}, data::DataFrame, hints::Dict{Symbol, Any}) @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/schema.jl:118 [12] schema(f::FormulaTerm{Term, NTuple{4, Term}}, data::DataFrame, hints::Dict{Symbol, Any}) @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/schema.jl:126 [13] schema(f::FormulaTerm{Term, NTuple{4, Term}}, data::DataFrame) @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/schema.jl:129 [inlined] [14] logistic_reg(formula::FormulaTerm{Term, NTuple{4, Term}}, data::DataFrame, Link::Logit, turingModel::CRRao.var"#LogisticRegression#fit##7"{Logit, Float64}, sim_size::Int64) @ CRRao ~/.julia/packages/CRRao/8l32U/src/bayesian/logistic_regression.jl:2 [15] fit(formula::FormulaTerm{Term, NTuple{4, Term}}, data::DataFrame, modelClass::LogisticRegression, Link::Logit, prior::Prior_Ridge, h::Float64, level::Float64, sim_size::Int64) @ CRRao ~/.julia/packages/CRRao/8l32U/src/bayesian/logistic_regression.jl:213 [16] fit(formula::FormulaTerm{Term, NTuple{4, Term}}, data::DataFrame, modelClass::LogisticRegression, Link::Logit, prior::Prior_Ridge) @ CRRao ~/.julia/packages/CRRao/8l32U/src/bayesian/logistic_regression.jl:192 [17] top-level scope @ ~/.julia/packages/CRRao/8l32U/test/numerical/bayesian/LogisticRegression.jl:54 [18] include(mapexpr::Function, mod::Module, _path::String) @ Base Base.jl:335 [19] top-level scope @ ~/.julia/packages/CRRao/8l32U/test/runtests.jl:9 [20] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2252 [inlined] [21] macro expansion @ ~/.julia/packages/CRRao/8l32U/test/runtests.jl:28 [inlined] [22] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2252 [inlined] [23] macro expansion @ ~/.julia/packages/CRRao/8l32U/test/runtests.jl:37 [inlined] [24] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2252 [inlined] [25] macro expansion @ ~/.julia/packages/CRRao/8l32U/test/runtests.jl:42 [inlined] [26] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2252 [inlined] [27] macro expansion @ ~/.julia/packages/CRRao/8l32U/test/runtests.jl:42 [inlined] in expression starting at /home/pkgeval/.julia/packages/CRRao/8l32U/test/numerical/bayesian/LogisticRegression.jl:51 Poisson Regression: Error During Test at /home/pkgeval/.julia/packages/CRRao/8l32U/test/runtests.jl:45 Got exception outside of a @test LoadError: MethodError: no method matching StatsModels.ContrastsMatrix(::Matrix{Float64}, ::CategoricalArrays.CategoricalVector{String, UInt8, String, CategoricalArrays.CategoricalValue{String, UInt8}, Union{}}, ::Vector{CategoricalArrays.CategoricalValue{String, UInt8}}, ::DummyCoding) The type `StatsModels.ContrastsMatrix` exists, but no method is defined for this combination of argument types when trying to construct it. Closest candidates are: StatsModels.ContrastsMatrix(::AbstractMatrix, !Matched::Vector{U}, ::Vector{T}, ::C) where {U, T, C<:AbstractContrasts} @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/contrasts.jl:110 StatsModels.ContrastsMatrix(!Matched::StatsModels.FullDummyCoding, ::AbstractVector{T}) where T @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/contrasts.jl:283 StatsModels.ContrastsMatrix(!Matched::C, ::AbstractVector{T}) where {C<:AbstractContrasts, T} @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/contrasts.jl:158 ... Stacktrace: [1] StatsModels.ContrastsMatrix(contrasts::DummyCoding, levels::CategoricalArrays.CategoricalVector{String, UInt8, String, CategoricalArrays.CategoricalValue{String, UInt8}, Union{}}) @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/contrasts.jl:205 [2] concrete_term(t::Term, xs::CategoricalArrays.CategoricalVector{String, UInt8, String, CategoricalArrays.CategoricalValue{String, UInt8}, Union{}}, contrasts::DummyCoding) @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/schema.jl:212 [3] concrete_term(t::Term, xs::CategoricalArrays.CategoricalVector{String, UInt8, String, CategoricalArrays.CategoricalValue{String, UInt8}, Union{}}, ::Core.TypeEgal{CategoricalTerm}) @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/schema.jl:206 [inlined] [4] concrete_term(t::Term, xs::CategoricalArrays.CategoricalVector{String, UInt8, String, CategoricalArrays.CategoricalValue{String, UInt8}, Union{}}, ::Nothing) @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/schema.jl:205 [5] concrete_term(t::Term, dt::@NamedTuple{Mil::Vector{Int32}, Coop::Vector{Int32}, Target::Vector{Int32}, Import::Vector{Int32}, Export::Vector{Int32}, Cost::Vector{Int32}, Num::Vector{Int32}, NCost::CategoricalArrays.CategoricalVector{String, UInt8, String, CategoricalArrays.CategoricalValue{String, UInt8}, Union{}}}, hints::Dict{Symbol, Any}) @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/schema.jl:184 [6] (::StatsModels.var"#schema##0#schema##1"{@NamedTuple{Mil::Vector{Int32}, Coop::Vector{Int32}, Target::Vector{Int32}, Import::Vector{Int32}, Export::Vector{Int32}, Cost::Vector{Int32}, Num::Vector{Int32}, NCost::CategoricalArrays.CategoricalVector{String, UInt8, String, CategoricalArrays.CategoricalValue{String, UInt8}, Union{}}}, Dict{Symbol, Any}})(t::Term) @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/schema.jl:122 [7] iterate(g::Base.Generator{Vector{Term}, StatsModels.var"#schema##0#schema##1"{@NamedTuple{Mil::Vector{Int32}, Coop::Vector{Int32}, Target::Vector{Int32}, Import::Vector{Int32}, Export::Vector{Int32}, Cost::Vector{Int32}, Num::Vector{Int32}, NCost::CategoricalArrays.CategoricalVector{String, UInt8, String, CategoricalArrays.CategoricalValue{String, UInt8}, Union{}}}, Dict{Symbol, Any}}}, s::Int64) @ Base generator.jl:49 [inlined] [8] Dict{Term, AbstractTerm}(kv::Base.Generator{Vector{Term}, StatsModels.var"#schema##0#schema##1"{@NamedTuple{Mil::Vector{Int32}, Coop::Vector{Int32}, Target::Vector{Int32}, Import::Vector{Int32}, Export::Vector{Int32}, Cost::Vector{Int32}, Num::Vector{Int32}, NCost::CategoricalArrays.CategoricalVector{String, UInt8, String, CategoricalArrays.CategoricalValue{String, UInt8}, Union{}}}, Dict{Symbol, Any}}}) @ Base dict.jl:95 [9] StatsModels.Schema(x::Base.Generator{Vector{Term}, StatsModels.var"#schema##0#schema##1"{@NamedTuple{Mil::Vector{Int32}, Coop::Vector{Int32}, Target::Vector{Int32}, Import::Vector{Int32}, Export::Vector{Int32}, Cost::Vector{Int32}, Num::Vector{Int32}, NCost::CategoricalArrays.CategoricalVector{String, UInt8, String, CategoricalArrays.CategoricalValue{String, UInt8}, Union{}}}, Dict{Symbol, Any}}}) @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/schema.jl:37 [inlined] [10] schema(ts::Vector{Term}, dt::@NamedTuple{Mil::Vector{Int32}, Coop::Vector{Int32}, Target::Vector{Int32}, Import::Vector{Int32}, Export::Vector{Int32}, Cost::Vector{Int32}, Num::Vector{Int32}, NCost::CategoricalArrays.CategoricalVector{String, UInt8, String, CategoricalArrays.CategoricalValue{String, UInt8}, Union{}}}, hints::Dict{Symbol, Any}) @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/schema.jl:122 [11] schema(ts::Vector{Term}, data::DataFrame, hints::Dict{Symbol, Any}) @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/schema.jl:118 [12] schema(f::FormulaTerm{Term, Tuple{Term, Term, Term}}, data::DataFrame, hints::Dict{Symbol, Any}) @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/schema.jl:126 [13] schema(f::FormulaTerm{Term, Tuple{Term, Term, Term}}, data::DataFrame) @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/schema.jl:129 [inlined] [14] poisson_reg(formula::FormulaTerm{Term, Tuple{Term, Term, Term}}, data::DataFrame, turingModel::CRRao.var"#PoissonRegression#fit##17"{Float64}, sim_size::Int64) @ CRRao ~/.julia/packages/CRRao/8l32U/src/bayesian/poisson_regression.jl:2 [15] fit(formula::FormulaTerm{Term, Tuple{Term, Term, Term}}, data::DataFrame, modelClass::PoissonRegression, prior::Prior_Ridge, h::Float64, sim_size::Int64) @ CRRao ~/.julia/packages/CRRao/8l32U/src/bayesian/poisson_regression.jl:124 [16] fit(formula::FormulaTerm{Term, Tuple{Term, Term, Term}}, data::DataFrame, modelClass::PoissonRegression, prior::Prior_Ridge) @ CRRao ~/.julia/packages/CRRao/8l32U/src/bayesian/poisson_regression.jl:105 [17] top-level scope @ ~/.julia/packages/CRRao/8l32U/test/numerical/bayesian/PoissonRegression.jl:13 [18] include(mapexpr::Function, mod::Module, _path::String) @ Base Base.jl:335 [19] top-level scope @ ~/.julia/packages/CRRao/8l32U/test/runtests.jl:9 [20] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2252 [inlined] [21] macro expansion @ ~/.julia/packages/CRRao/8l32U/test/runtests.jl:28 [inlined] [22] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2252 [inlined] [23] macro expansion @ ~/.julia/packages/CRRao/8l32U/test/runtests.jl:37 [inlined] [24] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2252 [inlined] [25] macro expansion @ ~/.julia/packages/CRRao/8l32U/test/runtests.jl:46 [inlined] [26] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2252 [inlined] [27] macro expansion @ ~/.julia/packages/CRRao/8l32U/test/runtests.jl:46 [inlined] in expression starting at /home/pkgeval/.julia/packages/CRRao/8l32U/test/numerical/bayesian/PoissonRegression.jl:11 Negative Binomial Regression: Error During Test at /home/pkgeval/.julia/packages/CRRao/8l32U/test/runtests.jl:49 Got exception outside of a @test LoadError: MethodError: no method matching StatsModels.ContrastsMatrix(::Matrix{Float64}, ::CategoricalArrays.CategoricalVector{String, UInt8, String, CategoricalArrays.CategoricalValue{String, UInt8}, Union{}}, ::Vector{CategoricalArrays.CategoricalValue{String, UInt8}}, ::DummyCoding) The type `StatsModels.ContrastsMatrix` exists, but no method is defined for this combination of argument types when trying to construct it. Closest candidates are: StatsModels.ContrastsMatrix(::AbstractMatrix, !Matched::Vector{U}, ::Vector{T}, ::C) where {U, T, C<:AbstractContrasts} @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/contrasts.jl:110 StatsModels.ContrastsMatrix(!Matched::StatsModels.FullDummyCoding, ::AbstractVector{T}) where T @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/contrasts.jl:283 StatsModels.ContrastsMatrix(!Matched::C, ::AbstractVector{T}) where {C<:AbstractContrasts, T} @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/contrasts.jl:158 ... Stacktrace: [1] StatsModels.ContrastsMatrix(contrasts::DummyCoding, levels::CategoricalArrays.CategoricalVector{String, UInt8, String, CategoricalArrays.CategoricalValue{String, UInt8}, Union{}}) @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/contrasts.jl:205 [2] concrete_term(t::Term, xs::CategoricalArrays.CategoricalVector{String, UInt8, String, CategoricalArrays.CategoricalValue{String, UInt8}, Union{}}, contrasts::DummyCoding) @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/schema.jl:212 [3] concrete_term(t::Term, xs::CategoricalArrays.CategoricalVector{String, UInt8, String, CategoricalArrays.CategoricalValue{String, UInt8}, Union{}}, ::Core.TypeEgal{CategoricalTerm}) @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/schema.jl:206 [inlined] [4] concrete_term(t::Term, xs::CategoricalArrays.CategoricalVector{String, UInt8, String, CategoricalArrays.CategoricalValue{String, UInt8}, Union{}}, ::Nothing) @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/schema.jl:205 [5] concrete_term(t::Term, dt::@NamedTuple{Mil::Vector{Int32}, Coop::Vector{Int32}, Target::Vector{Int32}, Import::Vector{Int32}, Export::Vector{Int32}, Cost::Vector{Int32}, Num::Vector{Int32}, NCost::CategoricalArrays.CategoricalVector{String, UInt8, String, CategoricalArrays.CategoricalValue{String, UInt8}, Union{}}}, hints::Dict{Symbol, Any}) @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/schema.jl:184 [6] (::StatsModels.var"#schema##0#schema##1"{@NamedTuple{Mil::Vector{Int32}, Coop::Vector{Int32}, Target::Vector{Int32}, Import::Vector{Int32}, Export::Vector{Int32}, Cost::Vector{Int32}, Num::Vector{Int32}, NCost::CategoricalArrays.CategoricalVector{String, UInt8, String, CategoricalArrays.CategoricalValue{String, UInt8}, Union{}}}, Dict{Symbol, Any}})(t::Term) @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/schema.jl:122 [7] iterate(g::Base.Generator{Vector{Term}, StatsModels.var"#schema##0#schema##1"{@NamedTuple{Mil::Vector{Int32}, Coop::Vector{Int32}, Target::Vector{Int32}, Import::Vector{Int32}, Export::Vector{Int32}, Cost::Vector{Int32}, Num::Vector{Int32}, NCost::CategoricalArrays.CategoricalVector{String, UInt8, String, CategoricalArrays.CategoricalValue{String, UInt8}, Union{}}}, Dict{Symbol, Any}}}, s::Int64) @ Base generator.jl:49 [inlined] [8] Dict{Term, AbstractTerm}(kv::Base.Generator{Vector{Term}, StatsModels.var"#schema##0#schema##1"{@NamedTuple{Mil::Vector{Int32}, Coop::Vector{Int32}, Target::Vector{Int32}, Import::Vector{Int32}, Export::Vector{Int32}, Cost::Vector{Int32}, Num::Vector{Int32}, NCost::CategoricalArrays.CategoricalVector{String, UInt8, String, CategoricalArrays.CategoricalValue{String, UInt8}, Union{}}}, Dict{Symbol, Any}}}) @ Base dict.jl:95 [9] StatsModels.Schema(x::Base.Generator{Vector{Term}, StatsModels.var"#schema##0#schema##1"{@NamedTuple{Mil::Vector{Int32}, Coop::Vector{Int32}, Target::Vector{Int32}, Import::Vector{Int32}, Export::Vector{Int32}, Cost::Vector{Int32}, Num::Vector{Int32}, NCost::CategoricalArrays.CategoricalVector{String, UInt8, String, CategoricalArrays.CategoricalValue{String, UInt8}, Union{}}}, Dict{Symbol, Any}}}) @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/schema.jl:37 [inlined] [10] schema(ts::Vector{Term}, dt::@NamedTuple{Mil::Vector{Int32}, Coop::Vector{Int32}, Target::Vector{Int32}, Import::Vector{Int32}, Export::Vector{Int32}, Cost::Vector{Int32}, Num::Vector{Int32}, NCost::CategoricalArrays.CategoricalVector{String, UInt8, String, CategoricalArrays.CategoricalValue{String, UInt8}, Union{}}}, hints::Dict{Symbol, Any}) @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/schema.jl:122 [11] schema(ts::Vector{Term}, data::DataFrame, hints::Dict{Symbol, Any}) @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/schema.jl:118 [12] schema(f::FormulaTerm{Term, Tuple{Term, Term, Term}}, data::DataFrame, hints::Dict{Symbol, Any}) @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/schema.jl:126 [13] schema(f::FormulaTerm{Term, Tuple{Term, Term, Term}}, data::DataFrame) @ StatsModels ~/.julia/packages/StatsModels/fK0P3/src/schema.jl:129 [inlined] [14] negativebinomial_reg(formula::FormulaTerm{Term, Tuple{Term, Term, Term}}, data::DataFrame, turingModel::CRRao.var"#NegativeBinomialRegression#fit##12"{Float64}, sim_size::Int64) @ CRRao ~/.julia/packages/CRRao/8l32U/src/bayesian/negativebinomial_regression.jl:7 [15] fit(formula::FormulaTerm{Term, Tuple{Term, Term, Term}}, data::DataFrame, modelClass::NegBinomRegression, prior::Prior_Ridge, h::Float64, sim_size::Int64) @ CRRao ~/.julia/packages/CRRao/8l32U/src/bayesian/negativebinomial_regression.jl:129 [16] fit(formula::FormulaTerm{Term, Tuple{Term, Term, Term}}, data::DataFrame, modelClass::NegBinomRegression, prior::Prior_Ridge) @ CRRao ~/.julia/packages/CRRao/8l32U/src/bayesian/negativebinomial_regression.jl:109 [17] top-level scope @ ~/.julia/packages/CRRao/8l32U/test/numerical/bayesian/NegBinomialRegression.jl:13 [18] include(mapexpr::Function, mod::Module, _path::String) @ Base Base.jl:335 [19] top-level scope @ ~/.julia/packages/CRRao/8l32U/test/runtests.jl:9 [20] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2252 [inlined] [21] macro expansion @ ~/.julia/packages/CRRao/8l32U/test/runtests.jl:28 [inlined] [22] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2252 [inlined] [23] macro expansion @ ~/.julia/packages/CRRao/8l32U/test/runtests.jl:37 [inlined] [24] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2252 [inlined] [25] macro expansion @ ~/.julia/packages/CRRao/8l32U/test/runtests.jl:50 [inlined] [26] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2252 [inlined] [27] macro expansion @ ~/.julia/packages/CRRao/8l32U/test/runtests.jl:50 [inlined] in expression starting at /home/pkgeval/.julia/packages/CRRao/8l32U/test/numerical/bayesian/NegBinomialRegression.jl:11 Test Summary: | Pass Error Total Time CRRao.jl | 32 10 42 6m10.3s Basic Tests | 5 4 9 4m09.7s Linear Regression | 5 5 3m23.2s Logistic Regression | 1 1 43.0s Poisson Regression | 1 1 1.5s Negative Binomial Regression | 2 2 2.0s Frequentist NegativeBinomial Regression | 1 1 1.6s Numerical Tests | 27 6 33 2m00.5s Random Number Generator | 1 1 1.2s Frequentist | 20 3 23 43.2s Linear Regression | 20 20 38.4s Logistic Regression | 1 1 3.6s Poisson Regression | 1 1 0.7s Negative Binomial Regression | 1 1 0.4s Bayesian | 6 3 9 1m16.1s Linear Regression | 6 6 1m14.5s Logistic Regression | 1 1 1.0s Poisson Regression | 1 1 0.3s Negative Binomial Regression | 1 1 0.2s RNG of the outermost testset: Random.Xoshiro(0x239e27d0fe3023be, 0xae76554346917659, 0xb3eece0633e423e4, 0x63c8e94f17bd9b2c, 0x6d298ee37b887871) ERROR: LoadError: Some tests did not pass: 32 passed, 0 failed, 10 errored, 0 broken. in expression starting at /home/pkgeval/.julia/packages/CRRao/8l32U/test/runtests.jl:8 Testing failed after 426.35s ERROR: LoadError: Package CRRao errored during testing Stacktrace: [1] pkgerror(msg::String) @ Pkg.Types /opt/julia/share/julia/stdlib/v1.14/Pkg/src/Types.jl:68 [2] test(ctx::Pkg.Types.Context, pkgs::Vector{PackageSpec}; coverage::Bool, julia_args::Cmd, test_args::Cmd, test_fn::Nothing, force_latest_compatible_version::Bool, allow_earlier_backwards_compatible_versions::Bool, allow_reresolve::Bool) @ Pkg.Operations /opt/julia/share/julia/stdlib/v1.14/Pkg/src/Operations.jl:3298 [3] test(ctx::Pkg.Types.Context, pkgs::Vector{PackageSpec}; coverage::Bool, test_fn::Nothing, julia_args::Cmd, test_args::Cmd, force_latest_compatible_version::Bool, allow_earlier_backwards_compatible_versions::Bool, allow_reresolve::Bool, kwargs::@Kwargs{io::IOContext{IO}}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:587 [4] test(pkgs::Vector{PackageSpec}; io::IOContext{IO}, kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:172 [5] test(pkgs::Vector{String}; kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:160 [6] test(pkg::String; kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:159 [inlined] [7] top-level scope @ /PkgEval.jl/scripts/evaluate.jl:223 in expression starting at /PkgEval.jl/scripts/evaluate.jl:214 PkgEval failed after 902.44s: package has test failures