Package evaluation to test Copulas on Julia 1.14.0-DEV.3071 (c76331c927*) started at 2026-09-02T03:24:03.318 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Activating project at `~/.julia/environments/v1.14` Set-up completed after 15.14s ################################################################################ # Installation # Installing Copulas... Resolving package versions... Installed Rmath_jll ──────────────── v0.5.2+0 Installed CommonSolve ────────────── v0.2.14 Installed Collects ───────────────── v1.1.0 Installed ForwardDiff ────────────── v1.4.5 Installed DataStructures ─────────── v0.19.6 Installed CompositionsBase ───────── v0.1.2 Installed DiffResults ────────────── v1.1.0 Installed MacroTools ─────────────── v0.5.16 Installed Adapt ──────────────────── v4.7.0 Installed FillArrays ─────────────── v1.17.0 Installed HypergeometricFunctions ── v0.3.30 Installed ArrayInterface ─────────── v7.30.1 Installed StatsBase ──────────────── v0.34.13 Installed AliasTables ────────────── v1.1.3 Installed ConstructionBase ───────── v1.6.0 Installed Optim ──────────────────── v2.2.2 Installed OrderedCollections ─────── v2.0.1 Installed Statistics ─────────────── v1.11.4 Installed Combinatorics ──────────── v1.1.0 Installed DataAPI ────────────────── v1.16.0 Installed LambertW ───────────────── v1.0.0 Installed PositiveFactorizations ─── v0.2.4 Installed StatsAPI ───────────────── v1.8.0 Installed StaticArrays ───────────── v1.9.19 Installed PrecompileTools ────────── v1.3.4 Installed CommonSubexpressions ───── v0.3.1 Installed IntegerMathUtils ───────── v0.1.4 Installed NaNMath ────────────────── v1.1.4 Installed HCubature ──────────────── v1.8.0 Installed OpenSpecFun_jll ────────── v0.5.6+0 Installed StaticArraysCore ───────── v1.4.4 Installed IrrationalConstants ────── v0.2.6 Installed QuadGK ─────────────────── v2.11.3 Installed LogExpFunctions ────────── v1.0.1 Installed DiffRules ──────────────── v1.16.0 Installed Gamma ──────────────────── v1.2.0 Installed Roots ──────────────────── v3.0.7 Installed Distributions ──────────── v0.25.131 Installed FiniteDiff ─────────────── v2.33.0 Installed FixedSizeArrays ────────── v1.3.0 Installed Rmath ──────────────────── v0.9.0 Installed NLSolversBase ──────────── v8.0.1 Installed SpecialFunctions ───────── v2.9.0 Installed PtrArrays ──────────────── v1.4.0 Installed MvNormalCDF ────────────── v0.3.3 Installed EnumX ──────────────────── v1.0.7 Installed StatsFuns ──────────────── v2.2.1 Installed Reexport ───────────────── v1.2.2 Installed InverseFunctions ───────── v0.1.17 Installed Missings ───────────────── v1.2.0 Installed Setfield ───────────────── v1.1.2 Installed TaylorSeries ───────────── v0.22.4 Installed Preferences ────────────── v1.5.2 Installed Copulas ────────────────── v0.1.42 Installed SortingAlgorithms ──────── v1.2.3 Installed LineSearches ───────────── v7.7.1 Installed PDMats ─────────────────── v0.11.41 Installed PolyLog ────────────────── v2.6.2 Installed JLLWrappers ────────────── v1.8.0 Installed Primes ─────────────────── v0.5.7 Installed ADTypes ────────────────── v1.24.0 Installed DocStringExtensions ────── v0.9.5 Installed Accessors ──────────────── v0.1.45 Installed DifferentiationInterface ─ v0.7.21 Installing 2 artifacts Installed artifact Rmath 111.3 KiB Installed artifact OpenSpecFun 105.4 KiB Updating `~/.julia/environments/v1.14/Project.toml` [ae264745] + Copulas v0.1.42 Updating `~/.julia/environments/v1.14/Manifest.toml` [47edcb42] + ADTypes v1.24.0 [7d9f7c33] + Accessors v0.1.45 [79e6a3ab] + Adapt v4.7.0 [66dad0bd] + AliasTables v1.1.3 [4fba245c] + ArrayInterface v7.30.1 [08986516] + Collects v1.1.0 [861a8166] + Combinatorics v1.1.0 [38540f10] + CommonSolve v0.2.14 [bbf7d656] + CommonSubexpressions v0.3.1 [a33af91c] + CompositionsBase v0.1.2 [187b0558] + ConstructionBase v1.6.0 [ae264745] + Copulas v0.1.42 [9a962f9c] + DataAPI v1.16.0 [864edb3b] + DataStructures v0.19.6 [163ba53b] + DiffResults v1.1.0 [b552c78f] + DiffRules v1.16.0 [a0c0ee7d] + DifferentiationInterface v0.7.21 [31c24e10] + Distributions v0.25.131 [ffbed154] + DocStringExtensions v0.9.5 [4e289a0a] + EnumX v1.0.7 [1a297f60] + FillArrays v1.17.0 [6a86dc24] + FiniteDiff v2.33.0 [3821ddf9] + FixedSizeArrays v1.3.0 [f6369f11] + ForwardDiff v1.4.5 [a0844989] + Gamma v1.2.0 [19dc6840] + HCubature v1.8.0 [34004b35] + HypergeometricFunctions v0.3.30 [18e54dd8] + IntegerMathUtils v0.1.4 [3587e190] + InverseFunctions v0.1.17 [92d709cd] + IrrationalConstants v0.2.6 [692b3bcd] + JLLWrappers v1.8.0 [984bce1d] + LambertW v1.0.0 [d3d80556] + LineSearches v7.7.1 [2ab3a3ac] + LogExpFunctions v1.0.1 [1914dd2f] + MacroTools v0.5.16 [e1d29d7a] + Missings v1.2.0 [37188c8d] + MvNormalCDF v0.3.3 [d41bc354] + NLSolversBase v8.0.1 [77ba4419] + NaNMath v1.1.4 [429524aa] + Optim v2.2.2 [bac558e1] + OrderedCollections v2.0.1 [90014a1f] + PDMats v0.11.41 [85e3b03c] + PolyLog v2.6.2 [85a6dd25] + PositiveFactorizations v0.2.4 [aea7be01] + PrecompileTools v1.3.4 [21216c6a] + Preferences v1.5.2 [27ebfcd6] + Primes v0.5.7 [43287f4e] + PtrArrays v1.4.0 [1fd47b50] + QuadGK v2.11.3 [189a3867] + Reexport v1.2.2 [79098fc4] + Rmath v0.9.0 [f2b01f46] + Roots v3.0.7 [efcf1570] + Setfield v1.1.2 [a2af1166] + SortingAlgorithms v1.2.3 [276daf66] + SpecialFunctions v2.9.0 [90137ffa] + StaticArrays v1.9.19 [1e83bf80] + StaticArraysCore v1.4.4 [10745b16] + Statistics v1.11.4 [82ae8749] + StatsAPI v1.8.0 [2913bbd2] + StatsBase v0.34.13 [4c63d2b9] + StatsFuns v2.2.1 [6aa5eb33] + TaylorSeries v0.22.4 [efe28fd5] + OpenSpecFun_jll v0.5.6+0 [f50d1b31] + Rmath_jll v0.5.2+0 [56f22d72] + Artifacts v1.11.0 [2a0f44e3] + Base64 v1.11.0 [ade2ca70] + Dates v1.11.0 [9fa8497b] + Future v1.11.0 [ac6e5ff7] + JuliaSyntaxHighlighting v1.13.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.14.0 [d6f4376e] + Markdown v1.11.0 [de0858da] + Printf v1.11.0 [9a3f8284] + Random v1.11.0 [ea8e919c] + SHA v1.13.0 [9e88b42a] + Serialization v1.11.0 [2f01184e] + SparseArrays v1.13.0 [f489334b] + StyledStrings v1.13.0 [4607b0f0] + SuiteSparse [fa267f1f] + TOML v1.0.3 [4ec0a83e] + Unicode v1.11.0 [e66e0078] + CompilerSupportLibraries_jll v1.5.7+0 [4536629a] + OpenBLAS_jll v0.3.34+0 [05823500] + OpenLibm_jll v0.8.7+0 [bea87d4a] + SuiteSparse_jll v7.10.1+0 [8e850b90] + libblastrampoline_jll v5.15.0+0 Installation completed after 9.22s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling project... 5.0 s ✓ TestEnv 1 dependency successfully precompiled in 5 seconds. 27 already precompiled. Precompiling package dependencies... Precompiling project... 3.4 s ✓ MacroTools 0.7 s ✓ Collects 0.5 s ✓ Reexport 0.6 s ✓ Adapt 0.8 s ✓ Statistics 0.6 s ✓ DataAPI 1.0 s ✓ PositiveFactorizations 0.7 s ✓ ConstructionBase 2.1 s ✓ IrrationalConstants 0.6 s ✓ StaticArraysCore 0.6 s ✓ StatsAPI 0.9 s ✓ OrderedCollections 0.6 s ✓ StableRNGs 0.6 s ✓ InverseFunctions 0.5 s ✓ CompositionsBase 1.0 s ✓ DocStringExtensions 1.6 s ✓ Combinatorics 0.5 s ✓ EnumX 0.6 s ✓ ArgCheck 2.0 s ✓ FillArrays 0.6 s ✓ IntegerMathUtils 0.7 s ✓ PolyLog 0.6 s ✓ PtrArrays 0.7 s ✓ NaNMath 2.1 s ✓ PDMats 1.0 s ✓ DelimitedFiles 0.8 s ✓ Compat 1.2 s ✓ Preferences 1.0 s ✓ CommonSubexpressions 0.9 s ✓ FixedSizeArrays 0.8 s ✓ ArrayInterface 1.4 s ✓ Adapt → AdaptSparseArraysExt 1.4 s ✓ Statistics → SparseArraysExt 0.6 s ✓ Missings 0.6 s ✓ ConstructionBase → ConstructionBaseLinearAlgebraExt 0.9 s ✓ LambertW 0.6 s ✓ DiffResults 3.3 s ✓ DataStructures 1.5 s ✓ InverseFunctions → InverseFunctionsTestExt 1.2 s ✓ InverseFunctions → InverseFunctionsDatesExt 0.5 s ✓ CompositionsBase → CompositionsBaseInverseFunctionsExt 1.1 s ✓ LogExpFunctions 1.9 s ✓ FillArrays → FillArraysSparseArraysExt 0.9 s ✓ FillArrays → FillArraysStatisticsExt 0.9 s ✓ Primes 0.7 s ✓ AliasTables 1.9 s ✓ FillArrays → FillArraysPDMatsExt 0.5 s ✓ Compat → CompatLinearAlgebraExt 1.5 s ✓ JLLWrappers 1.1 s ✓ PrecompileTools 0.6 s ✓ FixedSizeArrays → FixedSizeArraysRandomExt 0.6 s ✓ FixedSizeArrays → FixedSizeArraysAdaptExt 0.9 s ✓ ArrayInterface → ArrayInterfaceFillArraysExt 0.5 s ✓ ArrayInterface → ArrayInterfaceStaticArraysCoreExt 1.4 s ✓ ArrayInterface → ArrayInterfaceSparseArraysExt 1.8 s ✓ Setfield 0.8 s ✓ SortingAlgorithms 1.7 s ✓ QuadGK 4.0 s ✓ Accessors 2.0 s ✓ LogExpFunctions → LogExpFunctionsInverseFunctionsExt 1.4 s ✓ Gamma 6.1 s ✓ Aqua 1.7 s ✓ Rmath_jll 1.1 s ✓ OpenSpecFun_jll 14.1 s ✓ StaticArrays 2.4 s ✓ ADTypes 1.5 s ✓ CommonSolve 7.8 s ✓ TaylorSeries 1.1 s ✓ FiniteDiff 5.2 s ✓ StatsBase 2.8 s ✓ Accessors → LinearAlgebraExt 1.9 s ✓ Accessors → TestExt 2.2 s ✓ HypergeometricFunctions 1.5 s ✓ Rmath 5.2 s ✓ SpecialFunctions 1.4 s ✓ StaticArrays → StaticArraysStatisticsExt 1.4 s ✓ Adapt → AdaptStaticArraysExt 1.4 s ✓ ConstructionBase → ConstructionBaseStaticArraysExt 1.9 s ✓ FillArrays → FillArraysStaticArraysExt 4.1 s ✓ HCubature 1.4 s ✓ Accessors → StaticArraysExt 2.2 s ✓ DifferentiationInterface 0.8 s ✓ ADTypes → ADTypesConstructionBaseExt 3.2 s ✓ TaylorSeries → TaylorSeriesSAExt 1.4 s ✓ FiniteDiff → FiniteDiffSparseArraysExt 1.4 s ✓ FiniteDiff → FiniteDiffStaticArraysExt 3.6 s ✓ PDMats → StatsBaseExt 5.5 s ✓ Roots 1.3 s ✓ DiffRules 2.5 s ✓ StatsFuns 2.1 s ✓ DifferentiationInterface → DifferentiationInterfaceStaticArraysExt 1.8 s ✓ DifferentiationInterface → DifferentiationInterfaceSparseArraysExt 1.0 s ✓ DifferentiationInterface → DifferentiationInterfaceFiniteDiffExt 7.5 s ✓ ForwardDiff 0.9 s ✓ StatsFuns → StatsFunsInverseFunctionsExt 1.4 s ✓ NLSolversBase 1.7 s ✓ ForwardDiff → ForwardDiffStaticArraysExt 1.1 s ✓ PolyLog → PolyLogForwardDiffExt 1.4 s ✓ DifferentiationInterface → DifferentiationInterfaceForwardDiffExt 1.3 s ✓ Roots → RootsForwardDiffExt 10.4 s ✓ Distributions 1.6 s ✓ LineSearches 3.6 s ✓ MvNormalCDF 4.5 s ✓ Distributions → DistributionsTestExt 4.6 s ✓ HypothesisTests 4.2 s ✓ ExpectationMaximization 6.2 s ✓ Optim 10.8 s ✓ Copulas 6.0 s ✓ Copulas → CopulasExpectationMaximizationExt 109 dependencies successfully precompiled in 229 seconds. 36 already precompiled. Precompilation completed after 246.47s ################################################################################ # Testing # Testing Copulas Status `/tmp/jl_AADvlY/Project.toml` [47edcb42] ADTypes v1.24.0 [4c88cf16] Aqua v0.8.16 [861a8166] Combinatorics v1.1.0 [ae264745] Copulas v0.1.42 [8bb1440f] DelimitedFiles v1.9.1 [31c24e10] Distributions v0.25.131 [e1fe09cc] ExpectationMaximization v0.3.3 [f6369f11] ForwardDiff v1.4.5 [19dc6840] HCubature v1.8.0 [09f84164] HypothesisTests v0.11.8 [984bce1d] LambertW v1.0.0 [2ab3a3ac] LogExpFunctions v1.0.1 [37188c8d] MvNormalCDF v0.3.3 [429524aa] Optim v2.2.2 [85e3b03c] PolyLog v2.6.2 [1fd47b50] QuadGK v2.11.3 [f2b01f46] Roots v3.0.7 [276daf66] SpecialFunctions v2.9.0 [860ef19b] StableRNGs v1.0.4 [10745b16] Statistics v1.11.4 [2913bbd2] StatsBase v0.34.13 [4c63d2b9] StatsFuns v2.2.1 [6aa5eb33] TaylorSeries v0.22.4 [b77e0a4c] InteractiveUtils v1.11.0 [37e2e46d] LinearAlgebra v1.14.0 [de0858da] Printf v1.11.0 [9a3f8284] Random v1.11.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_AADvlY/Manifest.toml` [47edcb42] ADTypes v1.24.0 [7d9f7c33] Accessors v0.1.45 [79e6a3ab] Adapt v4.7.0 [66dad0bd] AliasTables v1.1.3 [4c88cf16] Aqua v0.8.16 [dce04be8] ArgCheck v2.5.0 [4fba245c] ArrayInterface v7.30.1 [08986516] Collects v1.1.0 [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 [187b0558] ConstructionBase v1.6.0 [ae264745] Copulas v0.1.42 [9a962f9c] DataAPI v1.16.0 [864edb3b] DataStructures v0.19.6 [8bb1440f] DelimitedFiles v1.9.1 [163ba53b] DiffResults v1.1.0 [b552c78f] DiffRules v1.16.0 [a0c0ee7d] DifferentiationInterface v0.7.21 [31c24e10] Distributions v0.25.131 [ffbed154] DocStringExtensions v0.9.5 [4e289a0a] EnumX v1.0.7 [e1fe09cc] ExpectationMaximization v0.3.3 [1a297f60] FillArrays v1.17.0 [6a86dc24] FiniteDiff v2.33.0 [3821ddf9] FixedSizeArrays v1.3.0 [f6369f11] ForwardDiff v1.4.5 [a0844989] Gamma v1.2.0 [19dc6840] HCubature v1.8.0 [34004b35] HypergeometricFunctions v0.3.30 [09f84164] HypothesisTests v0.11.8 [18e54dd8] IntegerMathUtils v0.1.4 [3587e190] InverseFunctions v0.1.17 [92d709cd] IrrationalConstants v0.2.6 [692b3bcd] JLLWrappers v1.8.0 [984bce1d] LambertW v1.0.0 [d3d80556] LineSearches v7.7.1 [2ab3a3ac] LogExpFunctions v1.0.1 [1914dd2f] MacroTools v0.5.16 [e1d29d7a] Missings v1.2.0 [37188c8d] MvNormalCDF v0.3.3 [d41bc354] NLSolversBase v8.0.1 [77ba4419] NaNMath v1.1.4 [429524aa] Optim v2.2.2 [bac558e1] OrderedCollections v2.0.1 [90014a1f] PDMats v0.11.41 [85e3b03c] PolyLog v2.6.2 [85a6dd25] PositiveFactorizations v0.2.4 [aea7be01] PrecompileTools v1.3.4 [21216c6a] Preferences v1.5.2 [27ebfcd6] Primes v0.5.7 [43287f4e] PtrArrays v1.4.0 [1fd47b50] QuadGK v2.11.3 [189a3867] Reexport v1.2.2 [79098fc4] Rmath v0.9.0 [f2b01f46] Roots v3.0.7 [efcf1570] Setfield v1.1.2 [a2af1166] SortingAlgorithms v1.2.3 [276daf66] SpecialFunctions v2.9.0 [860ef19b] StableRNGs v1.0.4 [90137ffa] StaticArrays v1.9.19 [1e83bf80] StaticArraysCore v1.4.4 [10745b16] Statistics v1.11.4 [82ae8749] StatsAPI v1.8.0 [2913bbd2] StatsBase v0.34.13 [4c63d2b9] StatsFuns v2.2.1 [6aa5eb33] TaylorSeries v0.22.4 [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 [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 [9a3f8284] Random v1.11.0 [ea8e919c] SHA v1.13.0 [9e88b42a] Serialization 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 v8.21.0+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 v0.8.7+0 [458c3c95] OpenSSL_jll v3.5.8+0 [efcefdf7] PCRE2_jll v10.47.0+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 Testing Running tests... [ Info: Launching test file Aqua.jl Unbound type parameters detected: [1] _unbound_params(::Type{var"#s129"} where var"#s129"<:SurvivalCopula{d, CT, flips}, d_, θ) where {d, CT, flips} @ Copulas ~/.julia/packages/Copulas/EzQ7s/src/MiscellaneousCopulas/SurvivalCopula.jl:106 [2] _available_fitting_methods(::Type{var"#s129"} where var"#s129"<:SurvivalCopula{D, subCT, flips}, d) where {D, subCT, flips} @ Copulas ~/.julia/packages/Copulas/EzQ7s/src/MiscellaneousCopulas/SurvivalCopula.jl:101 [3] _rebound_params(::Type{var"#s129"} where var"#s129"<:SurvivalCopula{d, CT, flips}, d_, α) where {d, CT, flips} @ Copulas ~/.julia/packages/Copulas/EzQ7s/src/MiscellaneousCopulas/SurvivalCopula.jl:110 [4] var"#_#212"(kwargs::Base.Pairs{Symbol, V, Nothing, NT} where {V, NT<:NamedTuple}, CT::Type{var"#s126"} where var"#s126"<:(ArchimedeanCopula{d}), args...) where d @ Copulas ~/.julia/packages/Copulas/EzQ7s/src/ArchimedeanCopula.jl:65 [5] var"#_#320"(kwargs::Base.Pairs{Symbol, V, Nothing, NT} where {V, NT<:NamedTuple}, CT::Type{var"#s126"} where var"#s126"<:(Copulas.ExtremeValueCopula{d}), args...) where d @ Copulas ~/.julia/packages/Copulas/EzQ7s/src/ExtremeValueCopula.jl:50 [6] var"#_#321"(kwargs::Base.Pairs{Symbol, V, Nothing, NT} where {V, NT<:NamedTuple}, CT::Type{var"#s126"} where var"#s126"<:Copulas.ExtremeValueCopula{D, TT}, d::Int64, args...) where {D, TT} @ Copulas ~/.julia/packages/Copulas/EzQ7s/src/ExtremeValueCopula.jl:53 [7] var"#_fit#153"(kwargs::Base.Pairs{Symbol, V, Nothing, NT} where {V, NT<:NamedTuple}, ::typeof(Copulas._fit), ::Type{var"#s125"} where var"#s125"<:SurvivalCopula{d, subCT, flips}, U, m::Val{:mle}) where {d, subCT, flips} @ Copulas ~/.julia/packages/Copulas/EzQ7s/src/MiscellaneousCopulas/SurvivalCopula.jl:92 [8] _example(CT::Type{var"#s129"} where var"#s129"<:SurvivalCopula{D, subCT, flips}, d) where {D, subCT, flips} @ Copulas ~/.julia/packages/Copulas/EzQ7s/src/MiscellaneousCopulas/SurvivalCopula.jl:102 [9] var"#_#213"(kwargs::Base.Pairs{Symbol, V, Nothing, NT} where {V, NT<:NamedTuple}, CT::Type{var"#s126"} where var"#s126"<:ArchimedeanCopula{D, TG}, d::Int64, args...) where {D, TG} @ Copulas ~/.julia/packages/Copulas/EzQ7s/src/ArchimedeanCopula.jl:68 [10] var"#_fit#152"(kwargs::Base.Pairs{Symbol, V, Nothing, NT} where {V, NT<:NamedTuple}, ::typeof(Copulas._fit), ::Type{var"#s125"} where var"#s125"<:SurvivalCopula{d, subCT, flips}, U, m::Union{Val{:itau}, Val{:irho}, Val{:ibeta}}) where {d, subCT, flips} @ Copulas ~/.julia/packages/Copulas/EzQ7s/src/MiscellaneousCopulas/SurvivalCopula.jl:84 Unbound type parameters: Test Failed at /home/pkgeval/.julia/packages/Aqua/h1qD0/src/unbound_args.jl:38 Expression: isempty(unbounds) Evaluated: isempty(Method[_unbound_params(::Type{var"#s129"} where var"#s129"<:SurvivalCopula{d, CT, flips}, d_, θ) where {d, CT, flips} @ Copulas ~/.julia/packages/Copulas/EzQ7s/src/MiscellaneousCopulas/SurvivalCopula.jl:106, _available_fitting_methods(::Type{var"#s129"} where var"#s129"<:SurvivalCopula{D, subCT, flips}, d) where {D, subCT, flips} @ Copulas ~/.julia/packages/Copulas/EzQ7s/src/MiscellaneousCopulas/SurvivalCopula.jl:101, _rebound_params(::Type{var"#s129"} where var"#s129"<:SurvivalCopula{d, CT, flips}, d_, α) where {d, CT, flips} @ Copulas ~/.julia/packages/Copulas/EzQ7s/src/MiscellaneousCopulas/SurvivalCopula.jl:110, var"#_#212"(kwargs::Base.Pairs{Symbol, V, Nothing, NT} where {V, NT<:NamedTuple}, CT::Type{var"#s126"} where var"#s126"<:(ArchimedeanCopula{d}), args...) where d @ Copulas ~/.julia/packages/Copulas/EzQ7s/src/ArchimedeanCopula.jl:65, var"#_#320"(kwargs::Base.Pairs{Symbol, V, Nothing, NT} where {V, NT<:NamedTuple}, CT::Type{var"#s126"} where var"#s126"<:(Copulas.ExtremeValueCopula{d}), args...) where d @ Copulas ~/.julia/packages/Copulas/EzQ7s/src/ExtremeValueCopula.jl:50, var"#_#321"(kwargs::Base.Pairs{Symbol, V, Nothing, NT} where {V, NT<:NamedTuple}, CT::Type{var"#s126"} where var"#s126"<:Copulas.ExtremeValueCopula{D, TT}, d::Int64, args...) where {D, TT} @ Copulas ~/.julia/packages/Copulas/EzQ7s/src/ExtremeValueCopula.jl:53, var"#_fit#153"(kwargs::Base.Pairs{Symbol, V, Nothing, NT} where {V, NT<:NamedTuple}, ::typeof(Copulas._fit), ::Type{var"#s125"} where var"#s125"<:SurvivalCopula{d, subCT, flips}, U, m::Val{:mle}) where {d, subCT, flips} @ Copulas ~/.julia/packages/Copulas/EzQ7s/src/MiscellaneousCopulas/SurvivalCopula.jl:92, _example(CT::Type{var"#s129"} where var"#s129"<:SurvivalCopula{D, subCT, flips}, d) where {D, subCT, flips} @ Copulas ~/.julia/packages/Copulas/EzQ7s/src/MiscellaneousCopulas/SurvivalCopula.jl:102, var"#_#213"(kwargs::Base.Pairs{Symbol, V, Nothing, NT} where {V, NT<:NamedTuple}, CT::Type{var"#s126"} where var"#s126"<:ArchimedeanCopula{D, TG}, d::Int64, args...) where {D, TG} @ Copulas ~/.julia/packages/Copulas/EzQ7s/src/ArchimedeanCopula.jl:68, var"#_fit#152"(kwargs::Base.Pairs{Symbol, V, Nothing, NT} where {V, NT<:NamedTuple}, ::typeof(Copulas._fit), ::Type{var"#s125"} where var"#s125"<:SurvivalCopula{d, subCT, flips}, U, m::Union{Val{:itau}, Val{:irho}, Val{:ibeta}}) where {d, subCT, flips} @ Copulas ~/.julia/packages/Copulas/EzQ7s/src/MiscellaneousCopulas/SurvivalCopula.jl:84]) Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:784 [inlined] [2] test_unbound_args(m::Module; broken::Bool) @ Aqua ~/.julia/packages/Aqua/h1qD0/src/unbound_args.jl:38 [3] test_unbound_args(m::Module) @ Aqua ~/.julia/packages/Aqua/h1qD0/src/unbound_args.jl:14 [inlined] [4] macro expansion @ ~/.julia/packages/Aqua/h1qD0/src/Aqua.jl:78 [inlined] [5] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2247 [inlined] [6] test_all(testtarget::Module; ambiguities::Bool, unbound_args::Bool, undefined_exports::Bool, project_extras::Bool, stale_deps::Bool, deps_compat::Bool, piracies::Bool, persistent_tasks::Bool, undocumented_names::Bool) @ Aqua ~/.julia/packages/Aqua/h1qD0/src/Aqua.jl:78 [ Info: Launching test file ArchimedeanCopulas.jl ┌ Warning: `fzero(f, (a,b))` is deprecated; use `find_zero(f, (a,b))` instead. │ caller = fzero(::Copulas.var"#τ⁻¹##4#τ⁻¹##5"{Float64}, ::Int64, ::Int64; kwargs::Base.Pairs{Symbol, Union{}, Nothing, @NamedTuple{}}) at alternative_interfaces.jl:235 [inlined] └ @ Roots ~/.julia/packages/Roots/YjSnT/src/deprecated/alternative_interfaces.jl:235 ┌ Warning: `fzero(f, (a,b))` is deprecated; use `find_zero(f, (a,b))` instead. │ caller = fzero(::Copulas.var"#ρ⁻¹##4#ρ⁻¹##5"{Float64}, ::Int64, ::Int64; kwargs::Base.Pairs{Symbol, Union{}, Nothing, @NamedTuple{}}) at alternative_interfaces.jl:235 [inlined] └ @ Roots ~/.julia/packages/Roots/YjSnT/src/deprecated/alternative_interfaces.jl:235 ┌ Warning: `cdf(d::UnivariateDistribution, X::AbstractArray{<:Real})` is deprecated, use `map(Base.Fix1(cdf, d), X)` instead. │ caller = top-level scope at ArchimedeanCopulas.jl:276 └ @ Core ~/.julia/packages/Copulas/EzQ7s/test/ArchimedeanCopulas.jl:276 [ Info: Launching test file NestedArchimedeanCopula.jl [ Info: Launching test file ConditionalDistribution.jl ┌ Info: Automatic choice: m = n in each dimension. │ d = 3 └ n = 30 [ Info: Launching test file Constructors.jl [ Info: Launching test file EllipticalCopulas.jl [ Info: Launching test file ExpectationMaximizationExt.jl [ Info: Launching test file FittingTest.jl [ Info: Testing: GaussianCopula, d=2, method=mle... [ Info: Testing: GaussianCopula, d=3, method=mle... [ Info: Testing: GumbelCopula, d=2, method=itau... [ Info: Testing: FrankCopula, d=2, method=mle... [ Info: Testing: JoeCopula, d=2, method=itau... [ Info: Testing: BB6Copula, d=2, method=mle... [ Info: Testing: BB7Copula, d=2, method=mle... [ Info: Testing: GalambosCopula, d=2, method=mle... [ Info: Testing: HuslerReissCopula, d=2, method=mle... [ Info: Launching test file MiscelaneousCopulas.jl [ Info: Launching test file NatafTest.jl [ Info: Launching test file SklarDist.jl [ Info: Launching test file Subsetting.jl [ Info: Launching test file GenericTests.jl [ Info: Automatic choice: m=10 in each dimension (≈ n^(1/d)). ┌ Info: Automatic choice: m = n in each dimension. │ d = 2 └ n = 50 ┌ Info: Automatic choice: m = n in each dimension. │ d = 3 └ n = 50 ┌ Info: Automatic choice: m = n in each dimension. │ d = 4 └ n = 50 [ Info: Testing AMHCopula{2, Float64}(θ = -1.0,)... [ Info: Testing AMHCopula{2, Float64}(θ = -0.6,)... [ Info: Testing AMHCopula{2, Float64}(θ = 0.7,)... [ Info: Testing AMHCopula{2, Float64}(θ = 0.9,)... [ Info: Testing AMHCopula{3, Float64}(θ = -0.003,)... [ Info: Testing AMHCopula{3, Float64}(θ = 0.6,)... [ Info: Testing AMHCopula{3, Float64}(θ = 0.2,)... [ Info: Testing AMHCopula{4, Float64}(θ = -0.01,)... [ Info: Testing ArchimaxCopula{2, Copulas.BB1Generator{Float64}, Copulas.AsymGalambosTail{Float64}}(gen_θ = 1.3, gen_δ = 1.4, tail_α = 0.35, tail_θ₁ = 0.65, tail_θ₂ = 0.3)... [ Info: Testing ArchimaxCopula{2, Copulas.BB1Generator{Float64}, Copulas.GalambosTail{Float64}}(gen_θ = 1.3, gen_δ = 1.4, tail_θ = 0.7)... [ Info: Testing ArchimaxCopula{2, Copulas.BB1Generator{Float64}, Copulas.GalambosTail{Float64}}(gen_θ = 1.3, gen_δ = 1.4, tail_θ = 2.5)... [ Info: Testing ArchimaxCopula{2, Copulas.BB1Generator{Float64}, Copulas.HuslerReissTail{Float64}}(gen_θ = 1.3, gen_δ = 1.4, tail_θ = 0.6)... [ Info: Testing ArchimaxCopula{2, Copulas.BB1Generator{Float64}, Copulas.HuslerReissTail{Float64}}(gen_θ = 1.3, gen_δ = 1.4, tail_θ = 1.8)... [ Info: Testing ArchimaxCopula{2, Copulas.BB1Generator{Float64}, Copulas.LogTail{Float64}}(gen_θ = 1.3, gen_δ = 1.4, tail_θ = 1.5)... [ Info: Testing ArchimaxCopula{2, Copulas.BB1Generator{Float64}, Copulas.LogTail{Float64}}(gen_θ = 1.3, gen_δ = 1.4, tail_θ = 2.0)... [ Info: Testing ArchimaxCopula{2, Copulas.BB1Generator{Float64}, Copulas.AsymGalambosTail{Float64}}(gen_θ = 2.0, gen_δ = 2.0, tail_α = 0.35, tail_θ₁ = 0.65, tail_θ₂ = 0.3)... [ Info: Testing ArchimaxCopula{2, Copulas.BB1Generator{Float64}, Copulas.GalambosTail{Float64}}(gen_θ = 2.0, gen_δ = 2.0, tail_θ = 0.7)... [ Info: Testing ArchimaxCopula{2, Copulas.BB1Generator{Float64}, Copulas.GalambosTail{Float64}}(gen_θ = 2.0, gen_δ = 2.0, tail_θ = 2.5)... [ Info: Testing ArchimaxCopula{2, Copulas.BB1Generator{Float64}, Copulas.HuslerReissTail{Float64}}(gen_θ = 2.0, gen_δ = 2.0, tail_θ = 0.6)... [ Info: Testing ArchimaxCopula{2, Copulas.BB1Generator{Float64}, Copulas.HuslerReissTail{Float64}}(gen_θ = 2.0, gen_δ = 2.0, tail_θ = 1.8)... [ Info: Testing ArchimaxCopula{2, Copulas.BB1Generator{Float64}, Copulas.LogTail{Float64}}(gen_θ = 2.0, gen_δ = 2.0, tail_θ = 1.5)... [ Info: Testing ArchimaxCopula{2, Copulas.BB1Generator{Float64}, Copulas.LogTail{Float64}}(gen_θ = 2.0, gen_δ = 2.0, tail_θ = 2.0)... [ Info: Testing ArchimaxCopula{2, ClaytonGenerator{Float64}, Copulas.AsymGalambosTail{Float64}}(gen_θ = 1.5, tail_α = 0.35, tail_θ₁ = 0.65, tail_θ₂ = 0.3)... [ Info: Testing BB4Copula{2, Float64}(gen_θ = 1.5, tail_θ = 0.7)... [ Info: Testing BB4Copula{2, Float64}(gen_θ = 1.5, tail_θ = 2.5)... [ Info: Testing ArchimaxCopula{2, ClaytonGenerator{Float64}, Copulas.HuslerReissTail{Float64}}(gen_θ = 1.5, tail_θ = 0.6)... [ Info: Testing ArchimaxCopula{2, ClaytonGenerator{Float64}, Copulas.HuslerReissTail{Float64}}(gen_θ = 1.5, tail_θ = 1.8)... [ Info: Testing ArchimaxCopula{2, ClaytonGenerator{Float64}, Copulas.LogTail{Float64}}(gen_θ = 1.5, tail_θ = 1.5)... [ Info: Testing ArchimaxCopula{2, ClaytonGenerator{Float64}, Copulas.LogTail{Float64}}(gen_θ = 1.5, tail_θ = 2.0)... [ Info: Testing ArchimaxCopula{2, ClaytonGenerator{Float64}, Copulas.AsymGalambosTail{Float64}}(gen_θ = 3.0, tail_α = 0.35, tail_θ₁ = 0.65, tail_θ₂ = 0.3)... [ Info: Testing BB4Copula{2, Float64}(gen_θ = 3.0, tail_θ = 0.7)... [ Info: Testing BB4Copula{2, Float64}(gen_θ = 3.0, tail_θ = 2.5)... [ Info: Testing ArchimaxCopula{2, ClaytonGenerator{Float64}, Copulas.HuslerReissTail{Float64}}(gen_θ = 3.0, tail_θ = 0.6)... [ Info: Testing ArchimaxCopula{2, ClaytonGenerator{Float64}, Copulas.HuslerReissTail{Float64}}(gen_θ = 3.0, tail_θ = 1.8)... [ Info: Testing ArchimaxCopula{2, ClaytonGenerator{Float64}, Copulas.LogTail{Float64}}(gen_θ = 3.0, tail_θ = 1.5)... [ Info: Testing ArchimaxCopula{2, ClaytonGenerator{Float64}, Copulas.LogTail{Float64}}(gen_θ = 3.0, tail_θ = 2.0)... [ Info: Testing ArchimaxCopula{2, FrankGenerator{Float64}, Copulas.AsymGalambosTail{Float64}}(gen_θ = 0.8, tail_α = 0.35, tail_θ₁ = 0.65, tail_θ₂ = 0.3)... [ Info: Testing ArchimaxCopula{2, FrankGenerator{Float64}, Copulas.GalambosTail{Float64}}(gen_θ = 0.8, tail_θ = 0.7)... [ Info: Testing ArchimaxCopula{2, FrankGenerator{Float64}, Copulas.GalambosTail{Float64}}(gen_θ = 0.8, tail_θ = 2.5)... [ Info: Testing ArchimaxCopula{2, FrankGenerator{Float64}, Copulas.HuslerReissTail{Float64}}(gen_θ = 0.8, tail_θ = 0.6)... [ Info: Testing ArchimaxCopula{2, FrankGenerator{Float64}, Copulas.HuslerReissTail{Float64}}(gen_θ = 0.8, tail_θ = 1.8)... [ Info: Testing ArchimaxCopula{2, FrankGenerator{Float64}, Copulas.LogTail{Float64}}(gen_θ = 0.8, tail_θ = 1.5)... [ Info: Testing ArchimaxCopula{2, FrankGenerator{Float64}, Copulas.LogTail{Float64}}(gen_θ = 0.8, tail_θ = 2.0)... [ Info: Testing ArchimaxCopula{2, FrankGenerator{Float64}, Copulas.AsymGalambosTail{Float64}}(gen_θ = 6.0, tail_α = 0.35, tail_θ₁ = 0.65, tail_θ₂ = 0.3)... [ Info: Testing ArchimaxCopula{2, FrankGenerator{Float64}, Copulas.GalambosTail{Float64}}(gen_θ = 6.0, tail_θ = 0.7)... [ Info: Testing ArchimaxCopula{2, FrankGenerator{Float64}, Copulas.GalambosTail{Float64}}(gen_θ = 6.0, tail_θ = 2.5)... [ Info: Testing ArchimaxCopula{2, FrankGenerator{Float64}, Copulas.HuslerReissTail{Float64}}(gen_θ = 6.0, tail_θ = 0.6)... [ Info: Testing ArchimaxCopula{2, FrankGenerator{Float64}, Copulas.HuslerReissTail{Float64}}(gen_θ = 6.0, tail_θ = 1.8)... [ Info: Testing ArchimaxCopula{2, FrankGenerator{Float64}, Copulas.LogTail{Float64}}(gen_θ = 6.0, tail_θ = 1.5)... [ Info: Testing ArchimaxCopula{2, FrankGenerator{Float64}, Copulas.LogTail{Float64}}(gen_θ = 6.0, tail_θ = 2.0)... [ Info: Testing ArchimaxCopula{2, GumbelGenerator{Float64}, Copulas.AsymGalambosTail{Float64}}(gen_θ = 2.0, tail_α = 0.35, tail_θ₁ = 0.65, tail_θ₂ = 0.3)... [ Info: Testing BB5Copula{2, Float64}(gen_θ = 2.0, tail_θ = 0.7)... [ Info: Testing BB5Copula{2, Float64}(gen_θ = 2.0, tail_θ = 2.5)... [ Info: Testing ArchimaxCopula{2, GumbelGenerator{Float64}, Copulas.HuslerReissTail{Float64}}(gen_θ = 2.0, tail_θ = 0.6)... [ Info: Testing ArchimaxCopula{2, GumbelGenerator{Float64}, Copulas.HuslerReissTail{Float64}}(gen_θ = 2.0, tail_θ = 1.8)... [ Info: Testing ArchimaxCopula{2, GumbelGenerator{Float64}, Copulas.LogTail{Float64}}(gen_θ = 2.0, tail_θ = 1.5)... [ Info: Testing ArchimaxCopula{2, GumbelGenerator{Float64}, Copulas.LogTail{Float64}}(gen_θ = 2.0, tail_θ = 2.0)... [ Info: Testing ArchimaxCopula{2, GumbelGenerator{Float64}, Copulas.AsymGalambosTail{Float64}}(gen_θ = 4.0, tail_α = 0.35, tail_θ₁ = 0.65, tail_θ₂ = 0.3)... [ Info: Testing BB5Copula{2, Float64}(gen_θ = 4.0, tail_θ = 0.7)... [ Info: Testing BB5Copula{2, Float64}(gen_θ = 4.0, tail_θ = 2.5)... [ Info: Testing ArchimaxCopula{2, GumbelGenerator{Float64}, Copulas.HuslerReissTail{Float64}}(gen_θ = 4.0, tail_θ = 0.6)... [ Info: Testing ArchimaxCopula{2, GumbelGenerator{Float64}, Copulas.HuslerReissTail{Float64}}(gen_θ = 4.0, tail_θ = 1.8)... [ Info: Testing ArchimaxCopula{2, GumbelGenerator{Float64}, Copulas.LogTail{Float64}}(gen_θ = 4.0, tail_θ = 1.5)... [ Info: Testing ArchimaxCopula{2, GumbelGenerator{Float64}, Copulas.LogTail{Float64}}(gen_θ = 4.0, tail_θ = 2.0)... [ Info: Testing ArchimaxCopula{2, JoeGenerator{Float64}, Copulas.AsymGalambosTail{Float64}}(gen_θ = 1.2, tail_α = 0.35, tail_θ₁ = 0.65, tail_θ₂ = 0.3)... [ Info: Testing ArchimaxCopula{2, JoeGenerator{Float64}, Copulas.GalambosTail{Float64}}(gen_θ = 1.2, tail_θ = 0.7)... [ Info: Testing ArchimaxCopula{2, JoeGenerator{Float64}, Copulas.GalambosTail{Float64}}(gen_θ = 1.2, tail_θ = 2.5)... [ Info: Testing ArchimaxCopula{2, JoeGenerator{Float64}, Copulas.HuslerReissTail{Float64}}(gen_θ = 1.2, tail_θ = 0.6)... [ Info: Testing ArchimaxCopula{2, JoeGenerator{Float64}, Copulas.HuslerReissTail{Float64}}(gen_θ = 1.2, tail_θ = 1.8)... [ Info: Testing ArchimaxCopula{2, JoeGenerator{Float64}, Copulas.LogTail{Float64}}(gen_θ = 1.2, tail_θ = 1.5)... [ Info: Testing ArchimaxCopula{2, JoeGenerator{Float64}, Copulas.LogTail{Float64}}(gen_θ = 1.2, tail_θ = 2.0)... [ Info: Testing ArchimaxCopula{2, JoeGenerator{Float64}, Copulas.AsymGalambosTail{Float64}}(gen_θ = 2.5, tail_α = 0.35, tail_θ₁ = 0.65, tail_θ₂ = 0.3)... [ Info: Testing ArchimaxCopula{2, JoeGenerator{Float64}, Copulas.GalambosTail{Float64}}(gen_θ = 2.5, tail_θ = 0.7)... [ Info: Testing ArchimaxCopula{2, JoeGenerator{Float64}, Copulas.GalambosTail{Float64}}(gen_θ = 2.5, tail_θ = 2.5)... [ Info: Testing ArchimaxCopula{2, JoeGenerator{Float64}, Copulas.HuslerReissTail{Float64}}(gen_θ = 2.5, tail_θ = 0.6)... [ Info: Testing ArchimaxCopula{2, JoeGenerator{Float64}, Copulas.HuslerReissTail{Float64}}(gen_θ = 2.5, tail_θ = 1.8)... [ Info: Testing ArchimaxCopula{2, JoeGenerator{Float64}, Copulas.LogTail{Float64}}(gen_θ = 2.5, tail_θ = 1.5)... [ Info: Testing ArchimaxCopula{2, JoeGenerator{Float64}, Copulas.LogTail{Float64}}(gen_θ = 2.5, tail_θ = 2.0)... [ Info: Testing ArchimedeanCopula(10, 𝒲(Dirac{Int64}(value=1), 10))... ┌ Info: Testing ArchimedeanCopula(10, 𝒲(MixtureModel{Dirac{Int64}}(K = 2) │ components[1] (prior = 0.5000): Dirac{Int64}(value=1) │ components[2] (prior = 0.5000): Dirac{Int64}(value=2) └ , 11))... [ Info: Testing ArchimedeanCopula(2, 𝒲(LogNormal{Float64}(μ=0.0, σ=1.0), 2))... [ Info: Testing ArchimedeanCopula(2, 𝒲(Pareto{Float64}(α=1.0, θ=1.0), 5))... [ Info: Testing AsymGalambosCopula{2, Float64}(α = 0.1, θ₁ = 0.2, θ₂ = 0.6)... [ Info: Testing AsymGalambosCopula{2, Float64}(α = 0.6129496106778634, θ₁ = 0.820474440393214, θ₂ = 0.22304578643880224)... [ Info: Testing GalambosCopula{2, Float64}(θ = 11.5,)... [ Info: Testing AsymGalambosCopula{2, Float64}(α = 13.5, θ₁ = 0.2, θ₂ = 0.9)... [ Info: Testing AsymGalambosCopula{2, Float64}(α = 11.647356700032505, θ₁ = 0.6195348270893413, θ₂ = 0.4197760589260566)... [ Info: Testing AsymGalambosCopula{2, Float64}(α = 5.0, θ₁ = 0.8, θ₂ = 0.3)... [ Info: Testing GalambosCopula{2, Float64}(θ = 6.6,)... [ Info: Testing AsymGalambosCopula{2, Float64}(α = 5.4, θ₁ = 0.2, θ₂ = 0.6)... [ Info: Testing AsymGalambosCopula{2, Float64}(α = 8.810168494949659, θ₁ = 0.5987759444612732, θ₂ = 0.5391280234619427)... [ Info: Testing GalambosCopula{2, Float64}(θ = 0.9,)... [ Info: Testing AsymGalambosCopula{2, Float64}(α = 0.3, θ₁ = 0.8, θ₂ = 0.1)... [ Info: Testing AsymLogCopula{2, Float64}(α = 1.0, θ₁ = 0.0, θ₂ = 0.0)... [ Info: Testing AsymLogCopula{2, Float64}(α = 1.0, θ₁ = 1.0, θ₂ = 1.0)... [ Info: Testing AsymLogCopula{2, Float64}(α = 1.0, θ₁ = 0.1, θ₂ = 0.6)... [ Info: Testing AsymLogCopula{2, Float64}(α = 1.2, θ₁ = 0.3, θ₂ = 0.6)... [ Info: Testing AsymLogCopula{2, Float64}(α = 1.5, θ₁ = 0.5, θ₂ = 0.2)... [ Info: Testing AsymLogCopula{2, Float64}(α = 4.6, θ₁ = 0.0, θ₂ = 0.0)... [ Info: Testing AsymLogCopula{2, Float64}(α = 1.04, θ₁ = 1.0, θ₂ = 1.0)... [ Info: Testing AsymLogCopula{2, Float64}(α = 1.8, θ₁ = 0.3, θ₂ = 0.4)... [ Info: Testing AsymLogCopula{2, Float64}(α = 12.5, θ₁ = 0.0, θ₂ = 0.0)... [ Info: Testing AsymLogCopula{2, Float64}(α = 13.0, θ₁ = 1.0, θ₂ = 1.0)... [ Info: Testing AsymLogCopula{2, Float64}(α = 13.5, θ₁ = 0.8, θ₂ = 0.2)... [ Info: Testing AsymMixedCopula{2, Float64}(θ₁ = 0.1, θ₂ = 0.2)... [ Info: Testing AsymMixedCopula{2, Float64}(θ₁ = 0.12, θ₂ = 0.13)... [ Info: Testing ClaytonCopula{2, Float64}(θ = 0.35,)... [ Info: Testing BB1Copula{2, Float64}(θ = 1.2, δ = 1.5)... [ Info: Testing BB1Copula{2, Float64}(θ = 2.5, δ = 1.5)... [ Info: Testing BB2Copula{2, Float64}(θ = 1.2, δ = 0.5)... [ Info: Testing BB2Copula{2, Float64}(θ = 1.5, δ = 1.8)... [ Info: Testing BB2Copula{2, Float64}(θ = 2.0, δ = 1.5)... [ Info: Testing BB3Copula{2, Float64}(θ = 2.0, δ = 1.5)... [ Info: Testing BB3Copula{2, Float64}(θ = 2.5, δ = 0.5)... [ Info: Testing BB3Copula{2, Float64}(θ = 3.0, δ = 1.0)... [ Info: Testing BB4Copula{2, Float64}(gen_θ = 0.5, tail_θ = 1.6)... [ Info: Testing BB4Copula{2, Float64}(gen_θ = 2.5, tail_θ = 0.4)... [ Info: Testing BB4Copula{2, Float64}(gen_θ = 3.0, tail_θ = 2.1)... [ Info: Testing BB5Copula{2, Float64}(gen_θ = 1.5, tail_θ = 1.6)... [ Info: Testing BB5Copula{2, Float64}(gen_θ = 2.5, tail_θ = 0.4)... [ Info: Testing BB5Copula{2, Float64}(gen_θ = 5.0, tail_θ = 0.5)... [ Info: Testing BB6Copula{2, Float64}(θ = 1.2, δ = 1.6)... [ Info: Testing BB6Copula{2, Float64}(θ = 1.5, δ = 1.4)... [ Info: Testing BB6Copula{2, Float64}(θ = 2.0, δ = 1.5)... [ Info: Testing BB7Copula{2, Float64}(θ = 1.2, δ = 1.6)... [ Info: Testing BB7Copula{2, Float64}(θ = 1.5, δ = 0.4)... [ Info: Testing BB7Copula{2, Float64}(θ = 2.0, δ = 1.5)... [ Info: Testing BB8Copula{2, Float64}(ϑ = 1.2, δ = 0.4)... [ Info: Testing BB8Copula{2, Float64}(ϑ = 1.5, δ = 0.6)... [ Info: Testing BB8Copula{2, Float64}(ϑ = 2.5, δ = 0.8)... [ Info: Testing BB9Copula{2, Float64}(θ = 1.5, δ = 2.4)... [ Info: Testing BB9Copula{2, Float64}(θ = 2.0, δ = 1.5)... [ Info: Testing BB9Copula{2, Float64}(θ = 2.8, δ = 2.6)... [ Info: Testing BB10Copula{2, Float64}(θ = 1.5, δ = 0.7)... [ Info: Testing BB10Copula{2, Float64}(θ = 3.0, δ = 0.8)... [ Info: Testing BB10Copula{2, Float64}(θ = 4.5, δ = 0.6)... [ Info: Testing BC2Copula{2, Float64}(a = 0.5, b = 0.3)... [ Info: Testing BC2Copula{2, Float64}(a = 0.5, b = 0.5)... [ Info: Testing BC2Copula{2, Float64}(a = 0.5516353577049822, b = 0.33689370624999193)... [ Info: Testing BC2Copula{2, Float64}(a = 0.7, b = 0.3)... [ Info: Testing BC2Copula{2, Float64}(a = 1.0, b = 0.0)... [ Info: Testing BC2Copula{2, Float64}(a = 0.6, b = 0.8)... [ Info: Testing BernsteinCopula(2, m=(5, 5))... [ Info: Automatic choice: m=3 in each dimension (≈ n^(1/d)). [ Info: Testing BernsteinCopula(3, m=(5, 5, 5))... [ Info: Automatic choice: m=2 in each dimension (≈ n^(1/d)). [ Info: Testing BernsteinCopula(2, m=(5, 5))... [ Info: Automatic choice: m=3 in each dimension (≈ n^(1/d)). [ Info: Testing BernsteinCopula(2, m=(5, 5))... [ Info: Automatic choice: m=3 in each dimension (≈ n^(1/d)). [ Info: Testing BernsteinCopula(4, m=(5, 5, 5, 5))... [ Info: Automatic choice: m=2 in each dimension (≈ n^(1/d)). [ Info: Testing ClaytonCopula{2, Float64}(θ = -0.7,)... [ Info: Testing ClaytonCopula{2, Float64}(θ = 0.9,)... [ Info: Testing ClaytonCopula{2, Float64}(θ = 0.3,)... [ Info: Testing ClaytonCopula{2, Float64}(θ = 7.0,)... [ Info: Testing ClaytonCopula{3, Float64}(θ = 7.3,)... [ Info: Testing ClaytonCopula{3, Float64}(θ = -0.36,)... [ Info: Testing ClaytonCopula{4, Float64}(θ = 3.7,)... [ Info: Testing ClaytonCopula{4, Float64}(θ = -0.22,)... [ Info: Testing SubsetCopula(RafteryCopula{3, Float64}(θ=0.5), (2, 1))... [ Info: Testing IndependentCopula{2}()... [ Info: Testing CuadrasAugeCopula{2, Float64}(θ = 0.1,)... [ Info: Testing CuadrasAugeCopula{2, Float64}(θ = 0.3437537135972244,)... [ Info: Testing CuadrasAugeCopula{2, Float64}(θ = 0.7103550345192344,)... [ Info: Testing CuadrasAugeCopula{2, Float64}(θ = 0.8,)... [ Info: Testing MCopula{2}()... [ Info: Testing CuadrasAugeCopula{2, Float64}(θ = 0.2,)... [ Info: Testing FGMCopula{2}(θ = [0.4])... [ Info: Testing FGMCopula{3}(θ = [0.3, 0.3, 0.3, 0.3])... [ Info: Testing FGMCopula{3}(θ = [0.1, 0.2, 0.3, 0.4])... [ Info: Testing FrankCopula{2, Float64}(θ = -5.0,)... ┌ Warning: `fzero(f, (a,b))` is deprecated; use `find_zero(f, (a,b))` instead. │ caller = fzero(::Copulas.var"#τ⁻¹##4#τ⁻¹##5"{Float64}, ::Int64, ::Int64; kwargs::Base.Pairs{Symbol, Union{}, Nothing, @NamedTuple{}}) at alternative_interfaces.jl:235 [inlined] └ @ Roots ~/.julia/packages/Roots/YjSnT/src/deprecated/alternative_interfaces.jl:235 ┌ Warning: `fzero(f, (a,b))` is deprecated; use `find_zero(f, (a,b))` instead. │ caller = fzero(::Copulas.var"#ρ⁻¹##4#ρ⁻¹##5"{Float64}, ::Int64, ::Int64; kwargs::Base.Pairs{Symbol, Union{}, Nothing, @NamedTuple{}}) at alternative_interfaces.jl:235 [inlined] └ @ Roots ~/.julia/packages/Roots/YjSnT/src/deprecated/alternative_interfaces.jl:235 [ Info: Testing FrankCopula{2, Float64}(θ = 0.5,)... [ Info: Testing FrankCopula{2, Float64}(θ = 1.1053605156578263,)... [ Info: Testing FrankCopula{2, Float64}(θ = 1.0,)... [ Info: Testing FrankCopula{3, Float64}(θ = 3.3025850929940455,)... [ Info: Testing FrankCopula{3, Float64}(θ = 12.0,)... [ Info: Testing FrankCopula{4, Float64}(θ = 2.203972804325936,)... [ Info: Testing FrankCopula{4, Float64}(θ = 150.0,)... [ Info: Testing FrankCopula{4, Float64}(θ = 30.0,)... [ Info: Testing FrankCopula{4, Float64}(θ = 37.0,)... [ Info: Testing GalambosCopula{2, Float64}(θ = 0.3,)... [ Info: Testing GalambosCopula{2, Float64}(θ = 3.0,)... [ Info: Testing GalambosCopula{2, Float64}(θ = 120.0,)... [ Info: Testing GalambosCopula{2, Float64}(θ = 20.0,)... [ Info: Testing GalambosCopula{2, Float64}(θ = 210.0,)... [ Info: Testing GalambosCopula{2, Float64}(θ = 4.3,)... [ Info: Testing GalambosCopula{2, Float64}(θ = 8.0,)... [ Info: Testing GalambosCopula{2, Float64}(θ = 80.0,)... [ Info: Testing GalambosCopula{2, Float64}(θ = 0.7,)... [ Info: Testing GaussianCopula{2, Matrix{Float64}}(Σ = [1.0 0.5; 0.5 1.0]))... [ Info: Testing GaussianCopula{2, Matrix{Float64}}(Σ = [1.0 0.7; 0.7 1.0]))... [ Info: Testing GumbelBarnettCopula{2, Float64}(θ = 1.0,)... [ Info: Testing GumbelBarnettCopula{2, Float64}(θ = 0.7,)... [ Info: Testing GumbelBarnettCopula{3, Float64}(θ = 0.1,)... [ Info: Testing GumbelBarnettCopula{3, Float64}(θ = 0.35,)... [ Info: Testing GumbelBarnettCopula{3, Float64}(θ = 0.07600000000000001,)... [ Info: Testing GumbelBarnettCopula{4, Float64}(θ = 0.2,)... [ Info: Testing GumbelCopula{2, Float64}(θ = 1.2,)... [ Info: Testing GumbelCopula{2, Float64}(θ = 1.1053605156578263,)... [ Info: Testing GumbelCopula{2, Float64}(θ = 8.0,)... [ Info: Testing GumbelCopula{3, Float64}(θ = 2.6094379124341005,)... [ Info: Testing GumbelCopula{4, Float64}(θ = 2.203972804325936,)... [ Info: Testing GumbelCopula{4, Float64}(θ = 100.0,)... [ Info: Testing GumbelCopula{4, Float64}(θ = 20.0,)... [ Info: Testing GumbelCopula{4, Float64}(θ = 7.0,)... [ Info: Testing HuslerReissCopula{2, Float64}(θ = 0.1,)... [ Info: Testing HuslerReissCopula{2, Float64}(θ = 0.256693308150987,)... [ Info: Testing HuslerReissCopula{2, Float64}(θ = 1.6287031392529938,)... [ Info: Testing HuslerReissCopula{2, Float64}(θ = 3.5,)... [ Info: Testing HuslerReissCopula{2, Float64}(θ = 5.319851350643586,)... [ Info: Testing InvGaussianCopula{2, Float64}(θ = 0.10536051565782628,)... [ Info: Testing InvGaussianCopula{2, Float64}(θ = 1.0,)... [ Info: Testing InvGaussianCopula{2, Float64}(θ = 0.2,)... [ Info: Testing InvGaussianCopula{3, Float64}(θ = 0.5108256237659907,)... [ Info: Testing InvGaussianCopula{3, Float64}(θ = 0.4,)... [ Info: Testing InvGaussianCopula{4, Float64}(θ = 2.3025850929940455,)... [ Info: Testing InvGaussianCopula{4, Float64}(θ = 0.05,)... [ Info: Testing JoeCopula{2, Float64}(θ = 1.6931471805599454,)... [ Info: Testing JoeCopula{2, Float64}(θ = 3.0,)... [ Info: Testing JoeCopula{3, Float64}(θ = 2.203972804325936,)... [ Info: Testing JoeCopula{3, Float64}(θ = 7.0,)... [ Info: Testing JoeCopula{4, Float64}(θ = 3.3025850929940455,)... [ Info: Testing LogCopula{2, Float64}(θ = 1.5,)... [ Info: Testing LogCopula{2, Float64}(θ = 4.6,)... [ Info: Testing LogCopula{2, Float64}(θ = 5.5,)... [ Info: Testing MixedCopula{2, Float64}(θ = 0.2,)... [ Info: Testing MixedCopula{2, Float64}(θ = 0.5,)... [ Info: Testing MixedCopula{2, Float64}(θ = 1.0,)... [ Info: Testing MOCopula{2, Float64}(λ₁ = 0.1, λ₂ = 0.2, λ₃ = 0.3)... [ Info: Testing MOCopula{2, Float64}(λ₁ = 0.5, λ₂ = 0.5, λ₃ = 0.5)... [ Info: Testing MOCopula{2, Float64}(λ₁ = 0.5960710257852946, λ₂ = 0.3313524247810329, λ₃ = 0.09653466861970061)... [ Info: Testing MOCopula{2, Float64}(λ₁ = 1.0, λ₂ = 1.0, λ₃ = 1.0)... [ Info: Testing MOCopula{2, Float64}(λ₁ = 0.1, λ₂ = 0.5, λ₃ = 0.9)... [ Info: Testing PlackettCopula{2, Float64}(θ=0.5)... [ Info: Testing PlackettCopula{2, Float64}(θ=0.8)... [ Info: Testing PlackettCopula{2, Float64}(θ=2.0)... [ Info: Testing RafteryCopula{2, Float64}(θ=0.2)... [ Info: Testing RafteryCopula{3, Float64}(θ=0.5)... [ Info: Testing SurvivalCopula(ClaytonCopula{2, Float64}(θ = -0.7,))... [ Info: Testing SurvivalCopula(RafteryCopula{2, Float64}(θ=0.2))... [ Info: Testing TCopula{2, Int64, Matrix{Float64}}(Σ = [1.0 0.7; 0.7 1.0]))... [ Info: Testing TCopula{2, Int64, Matrix{Float64}}(Σ = [1.0 -0.5; -0.5 1.0]))... [ Info: Testing TCopula{2, Int64, Matrix{Float64}}(Σ = [1.0 0.5; 0.5 1.0]))... [ Info: Testing tEVCopula{2, Float64}(ν = 2.0, ρ = 0.5)... [ Info: Testing tEVCopula{2, Float64}(ν = 4.0, ρ = 0.5)... [ Info: Testing tEVCopula{2, Float64}(ν = 7.0, ρ = -0.33000000000000007)... [ Info: Testing tEVCopula{2, Float64}(ν = 5.0, ρ = -0.5)... [ Info: Testing tEVCopula{2, Float64}(ν = 5.466564460573727, ρ = -0.6566645244416698)... [ Info: Testing WCopula{2}()... [ Info: Testing ArchimedeanCopula(2, EmpiricalGenerator(4, 38))... [ Info: Testing ArchimedeanCopula(3, EmpiricalGenerator(3, 62))... [ Info: Testing BernsteinCopula(2, m=(10, 10))... [ Info: Automatic choice: m=3 in each dimension (≈ n^(1/d)). [ Info: Testing BetaCopula{d}(2, 50)... [ Info: Testing BetaCopula{d}(3, 50)... [ Info: Testing CheckerboardCopula{2} ⟨m=[50, 50]⟩... ┌ Info: Automatic choice: m = n in each dimension. │ d = 2 └ n = 10 [ Info: Testing CheckerboardCopula{3} ⟨m=[50, 50, 50]⟩... ┌ Info: Automatic choice: m = n in each dimension. │ d = 3 └ n = 10 [ Info: Testing CheckerboardCopula{4} ⟨m=[50, 50, 50, 50]⟩... ┌ Info: Automatic choice: m = n in each dimension. │ d = 4 └ n = 10 [ Info: Testing EmpiricalCopula{d}(2, 50)... [ Info: Testing EmpiricalCopula{d}(2, 50)... [ Info: Testing ExtremeValueCopula{2} ⟨EmpiricalEVTail(401 knots)⟩... [ Info: Testing ExtremeValueCopula{2} ⟨EmpiricalEVTail(401 knots)⟩... [ Info: Testing ExtremeValueCopula{2} ⟨EmpiricalEVTail(401 knots)⟩... [ Info: Testing NestedArchimedeanCopula{4}(ClaytonGenerator{Float64}(2.0), 2 children)... [ Info: Testing NestedArchimedeanCopula{4}(GumbelGenerator{Float64}(1.5), 1 children)... [ Info: Testing NestedArchimedeanCopula{3}(ClaytonGenerator{Float64}(1.0), 1 children)... Test Summary: | Pass Fail Broken Total Time Copulas.jl testings | 25044 1 1855 26900 36m36.6s f = Aqua.jl | 9 1 10 1m24.6s Aqua.jl | 9 1 10 1m24.0s Unbound type parameters | 1 1 18.3s Undefined exports | 1 1 0.0s Compare Project.toml and test/Project.toml | 1 1 0.0s Stale dependencies | 1 1 8.4s Compat bounds | 4 4 0.7s Piracy | 1 1 0.4s Persistent tasks | 1 1 36.8s f = ArchimedeanCopulas.jl | 173 4 177 58.0s Williamson real orders and exact lower-order radial | 25 25 18.3s Stable factorial recurrences | 9 9 1.6s Boundary test for bivariate Joe, Gumbel and Frank | 56 56 2.9s Fix values of bivariate ClaytonCopula: τ, cdf, pdf and contructor | 28 28 4.7s Archimedean - Fix Kendall and Spearman correlation | 27 1 28 8.9s Testing empirical tail values of certain copula samples | 9 3 12 2.9s Test of τ ∘ τ⁻¹ = Id | 7 7 3.6s Test of ρ ∘ ρ⁻¹ = Id | 7 7 8.8s Fix clayton conditionals | 5 5 1.1s f = NestedArchimedeanCopula.jl | 150 150 2m30.0s NestedArchimedeanCopula | 150 150 2m28.3s f = ConditionalDistribution.jl | 657 657 1m31.2s IndependentCopula conditional | 10 10 1.3s Distortion densities agree with their cdf derivatives | 12 12 5.9s Plackett distortion closed-form quantile | 49 49 0.4s Algebraic Archimedean distortion quantiles | 28 28 1.4s Gumbel and Log distortion closed-form quantiles | 96 96 0.2s Lambert-W Archimedean distortion quantiles | 42 42 2.3s Gumbel-Barnett distortion closed-form quantile | 42 42 0.7s Gaussian distortion log-scale formulas | 11 11 0.2s Student distortion logcdf | 8 8 0.2s Elliptical conditioning shares matrix factorizations | 10 10 5.2s Student matrix Rosenblatt fast path | 3 3 5.0s Distorted distribution logcdf | 4 4 0.1s Extreme-value conditioning caches fixed transforms | 3 3 0.4s Archimedean distortion logcdf | 14 14 0.4s Flip distortion logcdf | 8 8 0.2s FGM distortion log-scale formulas | 32 32 0.3s Generic ConditionalCopula density | 13 13 6.6s Elementary distortions respect their support | 18 18 0.2s Checkerboard distortion supports multiple conditioning dimensions | 4 4 5.4s Bernstein distortion quantiles use bounded bisection | 7 7 6.3s Generic Distortion vs AD (bivariate small subset) | 48 48 2.7s Generic ConditionalCopula vs AD (3D, p=1) | 24 24 2.6s Independent univariate conditional cases | 7 7 0.2s GaussianCopula univariate conditional (uniform scale) | 10 10 0.2s Bivariate Archimedean conditional (generator formula across families) | 90 90 0.1s GaussianCopula conditional copula vs MVN | 3 3 5.0s Higher-dim Archimedean conditional (3|2 via generator derivatives) | 24 24 1.6s Gaussian Sklar conditional vs MVN with normal marginals | 8 8 3.4s Generic fallback sanity (Clayton small d) | 9 9 3.7s condition accepts non-Float64 reals (BigFloat StackOverflow regression) | 11 11 9.4s conditioning carries the conditioning eltype (BigFloat flows end-to-end) | 9 9 3.2s f = Constructors.jl | 89 89 17.5s dimension-first constructors | 26 26 6.4s named family constructors fix the dimension first | 63 63 8.7s f = EllipticalCopulas.jl | 17 17 6.2s GaussianCopula | 1 1 1.5s TCopula degrees of freedom are data, not a type value | 5 5 0.1s Fix value Gaussian Copula & SklarDist | 1 1 0.1s GaussianCopula equicorrelation constructor | 5 5 0.1s Elliptical logpdf promotes input and parameter types | 5 5 4.3s f = ExpectationMaximizationExt.jl | 28 28 1m34.4s ExpectationMaximization extension | 28 28 1m34.2s f = FittingTest.jl | 263 263 2m33.6s Fitting + vcov + StatsBase interfaces | 209 209 2m06.4s Extreme-value MLE accepts boundary starts | 4 4 8.4s Dependence Metrics | 50 50 17.6s f = MiscelaneousCopulas.jl | 101 101 10.3s Extreme-value quantiles use bounded bisection | 18 18 0.0s Marshall-Olkin specialized sampler | 1 1 1.1s Testing survival stuff | 9 9 2.7s RafteryCopula Constructor | 8 8 0.0s RafteryCopula CDF | 21 21 1.2s Check against manual version - CDF | 4 4 0.2s Check against manual version - PDF | 4 4 0.1s PlackettCopula - Fix behavior of cdf, pdf and constructor | 27 27 0.2s Fixing values of FGMCopula - cdf, pdf, constructor | 9 9 2.0s f = NatafTest.jl | 42 42 36.8s Nataf correction | 42 42 31.6s f = SklarDist.jl | 22 22 26.5s Generic API plumbing | 15 15 22.2s SklarDist work buffers promote all numeric inputs | 7 7 4.2s f = Subsetting.jl | 33 33 2.3s subsetdims full permutation (p == d) | 33 33 2.2s f = GenericTests.jl | 23460 1851 25311 24m25.2s Matrix sampler accepts generic buffers | 4 4 3.5s C = AMHCopula{2, Float64}(θ = -1.0,) | 79 9 88 19.8s C = AMHCopula{2, Float64}(θ = -0.6,) | 79 9 88 0.4s C = AMHCopula{2, Float64}(θ = 0.7,) | 80 8 88 0.1s C = AMHCopula{2, Float64}(θ = 0.9,) | 80 8 88 0.0s C = AMHCopula{3, Float64}(θ = -0.003,) | 73 8 81 12.7s C = AMHCopula{3, Float64}(θ = 0.6,) | 73 8 81 0.1s C = AMHCopula{3, Float64}(θ = 0.2,) | 73 8 81 0.0s C = AMHCopula{4, Float64}(θ = -0.01,) | 86 8 94 13.0s C = ArchimaxCopula{2, Copulas.BB1Generator{Float64}, Copulas.AsymGalambosTail{Float64}}(gen_θ = 1.3, gen_δ = 1.4, tail_α = 0.35, tail_θ₁ = 0.65, tail_θ₂ = 0.3) | 102 5 107 25.6s C = ArchimaxCopula{2, Copulas.BB1Generator{Float64}, Copulas.GalambosTail{Float64}}(gen_θ = 1.3, gen_δ = 1.4, tail_θ = 0.7) | 102 5 107 17.3s C = ArchimaxCopula{2, Copulas.BB1Generator{Float64}, Copulas.GalambosTail{Float64}}(gen_θ = 1.3, gen_δ = 1.4, tail_θ = 2.5) | 102 5 107 0.1s C = ArchimaxCopula{2, Copulas.BB1Generator{Float64}, Copulas.HuslerReissTail{Float64}}(gen_θ = 1.3, gen_δ = 1.4, tail_θ = 0.6) | 102 5 107 15.8s C = ArchimaxCopula{2, Copulas.BB1Generator{Float64}, Copulas.HuslerReissTail{Float64}}(gen_θ = 1.3, gen_δ = 1.4, tail_θ = 1.8) | 102 5 107 0.1s C = ArchimaxCopula{2, Copulas.BB1Generator{Float64}, Copulas.LogTail{Float64}}(gen_θ = 1.3, gen_δ = 1.4, tail_θ = 1.5) | 102 5 107 13.3s C = ArchimaxCopula{2, Copulas.BB1Generator{Float64}, Copulas.LogTail{Float64}}(gen_θ = 1.3, gen_δ = 1.4, tail_θ = 2.0) | 102 5 107 0.0s C = ArchimaxCopula{2, Copulas.BB1Generator{Float64}, Copulas.AsymGalambosTail{Float64}}(gen_θ = 2.0, gen_δ = 2.0, tail_α = 0.35, tail_θ₁ = 0.65, tail_θ₂ = 0.3) | 102 5 107 1.0s C = ArchimaxCopula{2, Copulas.BB1Generator{Float64}, Copulas.GalambosTail{Float64}}(gen_θ = 2.0, gen_δ = 2.0, tail_θ = 0.7) | 102 5 107 0.1s C = ArchimaxCopula{2, Copulas.BB1Generator{Float64}, Copulas.GalambosTail{Float64}}(gen_θ = 2.0, gen_δ = 2.0, tail_θ = 2.5) | 102 5 107 0.1s C = ArchimaxCopula{2, Copulas.BB1Generator{Float64}, Copulas.HuslerReissTail{Float64}}(gen_θ = 2.0, gen_δ = 2.0, tail_θ = 0.6) | 102 5 107 0.1s C = ArchimaxCopula{2, Copulas.BB1Generator{Float64}, Copulas.HuslerReissTail{Float64}}(gen_θ = 2.0, gen_δ = 2.0, tail_θ = 1.8) | 102 5 107 0.1s C = ArchimaxCopula{2, Copulas.BB1Generator{Float64}, Copulas.LogTail{Float64}}(gen_θ = 2.0, gen_δ = 2.0, tail_θ = 1.5) | 102 5 107 0.0s C = ArchimaxCopula{2, Copulas.BB1Generator{Float64}, Copulas.LogTail{Float64}}(gen_θ = 2.0, gen_δ = 2.0, tail_θ = 2.0) | 102 5 107 0.0s C = ArchimaxCopula{2, ClaytonGenerator{Float64}, Copulas.AsymGalambosTail{Float64}}(gen_θ = 1.5, tail_α = 0.35, tail_θ₁ = 0.65, tail_θ₂ = 0.3) | 102 5 107 16.1s C = BB4Copula{2, Float64}(gen_θ = 1.5, tail_θ = 0.7) | 102 5 107 13.2s C = BB4Copula{2, Float64}(gen_θ = 1.5, tail_θ = 2.5) | 102 5 107 0.0s C = ArchimaxCopula{2, ClaytonGenerator{Float64}, Copulas.HuslerReissTail{Float64}}(gen_θ = 1.5, tail_θ = 0.6) | 102 5 107 15.0s C = ArchimaxCopula{2, ClaytonGenerator{Float64}, Copulas.HuslerReissTail{Float64}}(gen_θ = 1.5, tail_θ = 1.8) | 102 5 107 0.1s C = ArchimaxCopula{2, ClaytonGenerator{Float64}, Copulas.LogTail{Float64}}(gen_θ = 1.5, tail_θ = 1.5) | 102 5 107 13.5s C = ArchimaxCopula{2, ClaytonGenerator{Float64}, Copulas.LogTail{Float64}}(gen_θ = 1.5, tail_θ = 2.0) | 102 5 107 0.0s C = ArchimaxCopula{2, ClaytonGenerator{Float64}, Copulas.AsymGalambosTail{Float64}}(gen_θ = 3.0, tail_α = 0.35, tail_θ₁ = 0.65, tail_θ₂ = 0.3) | 102 5 107 0.1s C = BB4Copula{2, Float64}(gen_θ = 3.0, tail_θ = 0.7) | 102 5 107 0.0s C = BB4Copula{2, Float64}(gen_θ = 3.0, tail_θ = 2.5) | 102 5 107 0.0s C = ArchimaxCopula{2, ClaytonGenerator{Float64}, Copulas.HuslerReissTail{Float64}}(gen_θ = 3.0, tail_θ = 0.6) | 102 5 107 0.1s C = ArchimaxCopula{2, ClaytonGenerator{Float64}, Copulas.HuslerReissTail{Float64}}(gen_θ = 3.0, tail_θ = 1.8) | 102 5 107 0.0s C = ArchimaxCopula{2, ClaytonGenerator{Float64}, Copulas.LogTail{Float64}}(gen_θ = 3.0, tail_θ = 1.5) | 102 5 107 0.1s C = ArchimaxCopula{2, ClaytonGenerator{Float64}, Copulas.LogTail{Float64}}(gen_θ = 3.0, tail_θ = 2.0) | 102 5 107 0.0s C = ArchimaxCopula{2, FrankGenerator{Float64}, Copulas.AsymGalambosTail{Float64}}(gen_θ = 0.8, tail_α = 0.35, tail_θ₁ = 0.65, tail_θ₂ = 0.3) | 102 5 107 13.2s C = ArchimaxCopula{2, FrankGenerator{Float64}, Copulas.GalambosTail{Float64}}(gen_θ = 0.8, tail_θ = 0.7) | 102 5 107 14.1s C = ArchimaxCopula{2, FrankGenerator{Float64}, Copulas.GalambosTail{Float64}}(gen_θ = 0.8, tail_θ = 2.5) | 102 5 107 0.0s C = ArchimaxCopula{2, FrankGenerator{Float64}, Copulas.HuslerReissTail{Float64}}(gen_θ = 0.8, tail_θ = 0.6) | 102 5 107 14.7s C = ArchimaxCopula{2, FrankGenerator{Float64}, Copulas.HuslerReissTail{Float64}}(gen_θ = 0.8, tail_θ = 1.8) | 102 5 107 0.0s C = ArchimaxCopula{2, FrankGenerator{Float64}, Copulas.LogTail{Float64}}(gen_θ = 0.8, tail_θ = 1.5) | 102 5 107 12.9s C = ArchimaxCopula{2, FrankGenerator{Float64}, Copulas.LogTail{Float64}}(gen_θ = 0.8, tail_θ = 2.0) | 102 5 107 0.0s C = ArchimaxCopula{2, FrankGenerator{Float64}, Copulas.AsymGalambosTail{Float64}}(gen_θ = 6.0, tail_α = 0.35, tail_θ₁ = 0.65, tail_θ₂ = 0.3) | 102 5 107 0.1s C = ArchimaxCopula{2, FrankGenerator{Float64}, Copulas.GalambosTail{Float64}}(gen_θ = 6.0, tail_θ = 0.7) | 102 5 107 0.1s C = ArchimaxCopula{2, FrankGenerator{Float64}, Copulas.GalambosTail{Float64}}(gen_θ = 6.0, tail_θ = 2.5) | 102 5 107 0.0s C = ArchimaxCopula{2, FrankGenerator{Float64}, Copulas.HuslerReissTail{Float64}}(gen_θ = 6.0, tail_θ = 0.6) | 102 5 107 0.1s C = ArchimaxCopula{2, FrankGenerator{Float64}, Copulas.HuslerReissTail{Float64}}(gen_θ = 6.0, tail_θ = 1.8) | 102 5 107 0.0s C = ArchimaxCopula{2, FrankGenerator{Float64}, Copulas.LogTail{Float64}}(gen_θ = 6.0, tail_θ = 1.5) | 102 5 107 0.1s C = ArchimaxCopula{2, FrankGenerator{Float64}, Copulas.LogTail{Float64}}(gen_θ = 6.0, tail_θ = 2.0) | 102 5 107 0.0s C = ArchimaxCopula{2, GumbelGenerator{Float64}, Copulas.AsymGalambosTail{Float64}}(gen_θ = 2.0, tail_α = 0.35, tail_θ₁ = 0.65, tail_θ₂ = 0.3) | 102 5 107 14.8s C = BB5Copula{2, Float64}(gen_θ = 2.0, tail_θ = 0.7) | 102 5 107 11.4s C = BB5Copula{2, Float64}(gen_θ = 2.0, tail_θ = 2.5) | 102 5 107 0.0s C = ArchimaxCopula{2, GumbelGenerator{Float64}, Copulas.HuslerReissTail{Float64}}(gen_θ = 2.0, tail_θ = 0.6) | 102 5 107 15.5s C = ArchimaxCopula{2, GumbelGenerator{Float64}, Copulas.HuslerReissTail{Float64}}(gen_θ = 2.0, tail_θ = 1.8) | 102 5 107 0.1s C = ArchimaxCopula{2, GumbelGenerator{Float64}, Copulas.LogTail{Float64}}(gen_θ = 2.0, tail_θ = 1.5) | 102 5 107 23.3s C = ArchimaxCopula{2, GumbelGenerator{Float64}, Copulas.LogTail{Float64}}(gen_θ = 2.0, tail_θ = 2.0) | 102 5 107 0.1s C = ArchimaxCopula{2, GumbelGenerator{Float64}, Copulas.AsymGalambosTail{Float64}}(gen_θ = 4.0, tail_α = 0.35, tail_θ₁ = 0.65, tail_θ₂ = 0.3) | 102 5 107 2.3s C = BB5Copula{2, Float64}(gen_θ = 4.0, tail_θ = 0.7) | 102 5 107 0.1s C = BB5Copula{2, Float64}(gen_θ = 4.0, tail_θ = 2.5) | 102 5 107 0.1s C = ArchimaxCopula{2, GumbelGenerator{Float64}, Copulas.HuslerReissTail{Float64}}(gen_θ = 4.0, tail_θ = 0.6) | 102 5 107 0.1s C = ArchimaxCopula{2, GumbelGenerator{Float64}, Copulas.HuslerReissTail{Float64}}(gen_θ = 4.0, tail_θ = 1.8) | 102 5 107 0.1s C = ArchimaxCopula{2, GumbelGenerator{Float64}, Copulas.LogTail{Float64}}(gen_θ = 4.0, tail_θ = 1.5) | 102 5 107 0.0s C = ArchimaxCopula{2, GumbelGenerator{Float64}, Copulas.LogTail{Float64}}(gen_θ = 4.0, tail_θ = 2.0) | 102 5 107 0.0s C = ArchimaxCopula{2, JoeGenerator{Float64}, Copulas.AsymGalambosTail{Float64}}(gen_θ = 1.2, tail_α = 0.35, tail_θ₁ = 0.65, tail_θ₂ = 0.3) | 102 5 107 23.2s C = ArchimaxCopula{2, JoeGenerator{Float64}, Copulas.GalambosTail{Float64}}(gen_θ = 1.2, tail_θ = 0.7) | 102 5 107 23.9s C = ArchimaxCopula{2, JoeGenerator{Float64}, Copulas.GalambosTail{Float64}}(gen_θ = 1.2, tail_θ = 2.5) | 102 5 107 0.1s C = ArchimaxCopula{2, JoeGenerator{Float64}, Copulas.HuslerReissTail{Float64}}(gen_θ = 1.2, tail_θ = 0.6) | 102 5 107 22.1s C = ArchimaxCopula{2, JoeGenerator{Float64}, Copulas.HuslerReissTail{Float64}}(gen_θ = 1.2, tail_θ = 1.8) | 102 5 107 0.1s C = ArchimaxCopula{2, JoeGenerator{Float64}, Copulas.LogTail{Float64}}(gen_θ = 1.2, tail_θ = 1.5) | 102 5 107 19.9s C = ArchimaxCopula{2, JoeGenerator{Float64}, Copulas.LogTail{Float64}}(gen_θ = 1.2, tail_θ = 2.0) | 102 5 107 0.0s C = ArchimaxCopula{2, JoeGenerator{Float64}, Copulas.AsymGalambosTail{Float64}}(gen_θ = 2.5, tail_α = 0.35, tail_θ₁ = 0.65, tail_θ₂ = 0.3) | 102 5 107 0.1s C = ArchimaxCopula{2, JoeGenerator{Float64}, Copulas.GalambosTail{Float64}}(gen_θ = 2.5, tail_θ = 0.7) | 102 5 107 0.1s C = ArchimaxCopula{2, JoeGenerator{Float64}, Copulas.GalambosTail{Float64}}(gen_θ = 2.5, tail_θ = 2.5) | 102 5 107 0.0s C = ArchimaxCopula{2, JoeGenerator{Float64}, Copulas.HuslerReissTail{Float64}}(gen_θ = 2.5, tail_θ = 0.6) | 102 5 107 0.1s C = ArchimaxCopula{2, JoeGenerator{Float64}, Copulas.HuslerReissTail{Float64}}(gen_θ = 2.5, tail_θ = 1.8) | 102 5 107 0.1s C = ArchimaxCopula{2, JoeGenerator{Float64}, Copulas.LogTail{Float64}}(gen_θ = 2.5, tail_θ = 1.5) | 102 5 107 0.1s C = ArchimaxCopula{2, JoeGenerator{Float64}, Copulas.LogTail{Float64}}(gen_θ = 2.5, tail_θ = 2.0) | 102 5 107 0.1s C = ArchimedeanCopula(10, 𝒲(Dirac{Int64}(value=1), 10)) | 151 10 161 12.6s C = ArchimedeanCopula(10, 𝒲(MixtureModel{Dirac{Int64}}(K = 2) components[1] (prior = 0.5000): Dirac{Int64}(value=1) components[2] (prior = 0.5000): Dirac{Int64}(value=2) , 11)) | 151 10 161 24.7s C = ArchimedeanCopula(2, 𝒲(LogNormal{Float64}(μ=0.0, σ=1.0), 2)) | 60 15 75 1m05.2s C = ArchimedeanCopula(2, 𝒲(Pareto{Float64}(α=1.0, θ=1.0), 5)) | 60 15 75 22.2s C = AsymGalambosCopula{2, Float64}(α = 0.1, θ₁ = 0.2, θ₂ = 0.6) | 113 5 118 12.2s C = AsymGalambosCopula{2, Float64}(α = 0.6129496106778634, θ₁ = 0.820474440393214, θ₂ = 0.22304578643880224) | 113 5 118 0.0s C = GalambosCopula{2, Float64}(θ = 11.5,) | 113 5 118 13.3s C = AsymGalambosCopula{2, Float64}(α = 13.5, θ₁ = 0.2, θ₂ = 0.9) | 113 5 118 0.0s C = AsymGalambosCopula{2, Float64}(α = 11.647356700032505, θ₁ = 0.6195348270893413, θ₂ = 0.4197760589260566) | 113 5 118 0.0s C = AsymGalambosCopula{2, Float64}(α = 5.0, θ₁ = 0.8, θ₂ = 0.3) | 113 5 118 0.0s C = GalambosCopula{2, Float64}(θ = 6.6,) | 113 5 118 0.0s C = AsymGalambosCopula{2, Float64}(α = 5.4, θ₁ = 0.2, θ₂ = 0.6) | 113 5 118 0.0s C = AsymGalambosCopula{2, Float64}(α = 8.810168494949659, θ₁ = 0.5987759444612732, θ₂ = 0.5391280234619427) | 113 5 118 0.0s C = GalambosCopula{2, Float64}(θ = 0.9,) | 113 5 118 0.0s C = AsymGalambosCopula{2, Float64}(α = 0.3, θ₁ = 0.8, θ₂ = 0.1) | 113 5 118 0.0s C = AsymLogCopula{2, Float64}(α = 1.0, θ₁ = 0.0, θ₂ = 0.0) | 113 5 118 13.7s C = AsymLogCopula{2, Float64}(α = 1.0, θ₁ = 1.0, θ₂ = 1.0) | 113 5 118 0.0s C = AsymLogCopula{2, Float64}(α = 1.0, θ₁ = 0.1, θ₂ = 0.6) | 113 5 118 0.0s C = AsymLogCopula{2, Float64}(α = 1.2, θ₁ = 0.3, θ₂ = 0.6) | 113 5 118 0.1s C = AsymLogCopula{2, Float64}(α = 1.5, θ₁ = 0.5, θ₂ = 0.2) | 113 5 118 0.1s C = AsymLogCopula{2, Float64}(α = 4.6, θ₁ = 0.0, θ₂ = 0.0) | 113 5 118 0.0s C = AsymLogCopula{2, Float64}(α = 1.04, θ₁ = 1.0, θ₂ = 1.0) | 113 5 118 0.0s C = AsymLogCopula{2, Float64}(α = 1.8, θ₁ = 0.3, θ₂ = 0.4) | 113 5 118 0.1s C = AsymLogCopula{2, Float64}(α = 12.5, θ₁ = 0.0, θ₂ = 0.0) | 113 5 118 0.0s C = AsymLogCopula{2, Float64}(α = 13.0, θ₁ = 1.0, θ₂ = 1.0) | 113 5 118 0.0s C = AsymLogCopula{2, Float64}(α = 13.5, θ₁ = 0.8, θ₂ = 0.2) | 113 5 118 0.1s C = AsymMixedCopula{2, Float64}(θ₁ = 0.1, θ₂ = 0.2) | 113 5 118 12.2s C = AsymMixedCopula{2, Float64}(θ₁ = 0.12, θ₂ = 0.13) | 113 5 118 0.0s C = ClaytonCopula{2, Float64}(θ = 0.35,) | 80 8 88 4.2s C = BB1Copula{2, Float64}(θ = 1.2, δ = 1.5) | 75 13 88 6.2s C = BB1Copula{2, Float64}(θ = 2.5, δ = 1.5) | 75 13 88 0.0s C = BB2Copula{2, Float64}(θ = 1.2, δ = 0.5) | 77 10 87 7.2s C = BB2Copula{2, Float64}(θ = 1.5, δ = 1.8) | 77 10 87 0.0s C = BB2Copula{2, Float64}(θ = 2.0, δ = 1.5) | 77 10 87 0.0s C = BB3Copula{2, Float64}(θ = 2.0, δ = 1.5) | 77 10 87 7.7s C = BB3Copula{2, Float64}(θ = 2.5, δ = 0.5) | 77 10 87 0.0s C = BB3Copula{2, Float64}(θ = 3.0, δ = 1.0) | 77 10 87 0.0s C = BB4Copula{2, Float64}(gen_θ = 0.5, tail_θ = 1.6) | 102 5 107 0.0s C = BB4Copula{2, Float64}(gen_θ = 2.5, tail_θ = 0.4) | 102 5 107 0.0s C = BB4Copula{2, Float64}(gen_θ = 3.0, tail_θ = 2.1) | 102 5 107 0.0s C = BB5Copula{2, Float64}(gen_θ = 1.5, tail_θ = 1.6) | 102 5 107 0.1s C = BB5Copula{2, Float64}(gen_θ = 2.5, tail_θ = 0.4) | 102 5 107 0.0s C = BB5Copula{2, Float64}(gen_θ = 5.0, tail_θ = 0.5) | 102 5 107 0.0s C = BB6Copula{2, Float64}(θ = 1.2, δ = 1.6) | 76 12 88 7.4s C = BB6Copula{2, Float64}(θ = 1.5, δ = 1.4) | 76 12 88 0.0s C = BB6Copula{2, Float64}(θ = 2.0, δ = 1.5) | 76 12 88 0.0s C = BB7Copula{2, Float64}(θ = 1.2, δ = 1.6) | 76 12 88 6.9s C = BB7Copula{2, Float64}(θ = 1.5, δ = 0.4) | 76 12 88 0.0s C = BB7Copula{2, Float64}(θ = 2.0, δ = 1.5) | 76 12 88 0.0s C = BB8Copula{2, Float64}(ϑ = 1.2, δ = 0.4) | 76 12 88 7.4s C = BB8Copula{2, Float64}(ϑ = 1.5, δ = 0.6) | 76 12 88 0.0s C = BB8Copula{2, Float64}(ϑ = 2.5, δ = 0.8) | 76 12 88 0.0s C = BB9Copula{2, Float64}(θ = 1.5, δ = 2.4) | 77 10 87 6.8s C = BB9Copula{2, Float64}(θ = 2.0, δ = 1.5) | 77 10 87 0.0s C = BB9Copula{2, Float64}(θ = 2.8, δ = 2.6) | 77 10 87 0.0s C = BB10Copula{2, Float64}(θ = 1.5, δ = 0.7) | 76 12 88 7.9s C = BB10Copula{2, Float64}(θ = 3.0, δ = 0.8) | 76 12 88 0.0s C = BB10Copula{2, Float64}(θ = 4.5, δ = 0.6) | 76 12 88 0.0s C = BC2Copula{2, Float64}(a = 0.5, b = 0.3) | 89 11 100 13.9s C = BC2Copula{2, Float64}(a = 0.5, b = 0.5) | 89 11 100 0.0s C = BC2Copula{2, Float64}(a = 0.5516353577049822, b = 0.33689370624999193) | 89 11 100 0.0s C = BC2Copula{2, Float64}(a = 0.7, b = 0.3) | 89 11 100 0.0s C = BC2Copula{2, Float64}(a = 1.0, b = 0.0) | 89 11 100 0.0s C = BC2Copula{2, Float64}(a = 0.6, b = 0.8) | 89 11 100 0.0s C = BernsteinCopula(2, m=(5, 5)) | 55 9 64 5.0s C = BernsteinCopula(3, m=(5, 5, 5)) | 47 9 56 12.2s C = BernsteinCopula(2, m=(5, 5)) | 55 9 64 0.2s C = BernsteinCopula(2, m=(5, 5)) | 55 9 64 0.0s C = BernsteinCopula(4, m=(5, 5, 5, 5)) | 59 9 68 19.5s C = ClaytonCopula{2, Float64}(θ = -0.7,) | 80 8 88 0.4s C = ClaytonCopula{2, Float64}(θ = 0.9,) | 80 8 88 0.0s C = ClaytonCopula{2, Float64}(θ = 0.3,) | 80 8 88 0.0s C = ClaytonCopula{2, Float64}(θ = 7.0,) | 80 8 88 0.1s C = ClaytonCopula{3, Float64}(θ = 7.3,) | 73 8 81 2.9s C = ClaytonCopula{3, Float64}(θ = -0.36,) | 73 8 81 0.7s C = ClaytonCopula{4, Float64}(θ = 3.7,) | 86 8 94 14.0s C = ClaytonCopula{4, Float64}(θ = -0.22,) | 86 8 94 0.8s C = SubsetCopula(RafteryCopula{3, Float64}(θ=0.5), (2, 1)) | 86 7 93 13.3s C = IndependentCopula{2}() | 86 7 93 4.8s C = CuadrasAugeCopula{2, Float64}(θ = 0.1,) | 66 10 76 9.3s C = CuadrasAugeCopula{2, Float64}(θ = 0.3437537135972244,) | 66 10 76 0.0s C = CuadrasAugeCopula{2, Float64}(θ = 0.7103550345192344,) | 66 10 76 0.0s C = CuadrasAugeCopula{2, Float64}(θ = 0.8,) | 66 10 76 0.0s C = MCopula{2}() | 60 10 70 3.3s C = CuadrasAugeCopula{2, Float64}(θ = 0.2,) | 66 10 76 0.0s C = FGMCopula{2}(θ = [0.4]) | 90 6 96 19.3s C = FGMCopula{3}(θ = [0.3, 0.3, 0.3, 0.3]) | 52 7 59 23.6s C = FGMCopula{3}(θ = [0.1, 0.2, 0.3, 0.4]) | 52 7 59 1.1s C = FrankCopula{2, Float64}(θ = -5.0,) | 107 7 114 19.7s C = FrankCopula{2, Float64}(θ = 0.5,) | 108 6 114 0.5s C = FrankCopula{2, Float64}(θ = 1.1053605156578263,) | 108 6 114 0.0s C = FrankCopula{2, Float64}(θ = 1.0,) | 108 6 114 0.1s C = FrankCopula{3, Float64}(θ = 3.3025850929940455,) | 81 5 86 17.4s C = FrankCopula{3, Float64}(θ = 12.0,) | 81 5 86 0.1s C = FrankCopula{4, Float64}(θ = 2.203972804325936,) | 94 5 99 16.6s C = FrankCopula{4, Float64}(θ = 150.0,) | 78 10 88 0.1s C = FrankCopula{4, Float64}(θ = 30.0,) | 94 5 99 0.1s C = FrankCopula{4, Float64}(θ = 37.0,) | 94 5 99 0.1s C = GalambosCopula{2, Float64}(θ = 0.3,) | 113 5 118 0.0s C = GalambosCopula{2, Float64}(θ = 3.0,) | 113 5 118 0.0s C = GalambosCopula{2, Float64}(θ = 120.0,) | 113 5 118 0.0s C = GalambosCopula{2, Float64}(θ = 20.0,) | 113 5 118 0.0s C = GalambosCopula{2, Float64}(θ = 210.0,) | 113 5 118 0.0s C = GalambosCopula{2, Float64}(θ = 4.3,) | 113 5 118 0.0s C = GalambosCopula{2, Float64}(θ = 8.0,) | 113 5 118 0.0s C = GalambosCopula{2, Float64}(θ = 80.0,) | 113 5 118 0.0s C = GalambosCopula{2, Float64}(θ = 0.7,) | 113 5 118 0.0s C = GaussianCopula{2, Matrix{Float64}}(Σ = [1.0 0.5; 0.5 1.0])) | 90 6 96 23.9s C = GaussianCopula{2, Matrix{Float64}}(Σ = [1.0 0.7; 0.7 1.0])) | 90 6 96 0.1s C = GumbelBarnettCopula{2, Float64}(θ = 1.0,) | 79 9 88 28.1s C = GumbelBarnettCopula{2, Float64}(θ = 0.7,) | 79 9 88 0.0s C = GumbelBarnettCopula{3, Float64}(θ = 0.1,) | 73 8 81 18.1s C = GumbelBarnettCopula{3, Float64}(θ = 0.35,) | 72 9 81 0.3s C = GumbelBarnettCopula{3, Float64}(θ = 0.07600000000000001,) | 73 8 81 0.1s C = GumbelBarnettCopula{4, Float64}(θ = 0.2,) | 85 9 94 20.1s C = GumbelCopula{2, Float64}(θ = 1.2,) | 81 7 88 16.3s C = GumbelCopula{2, Float64}(θ = 1.1053605156578263,) | 81 7 88 1.5s C = GumbelCopula{2, Float64}(θ = 8.0,) | 81 7 88 0.7s C = GumbelCopula{3, Float64}(θ = 2.6094379124341005,) | 74 7 81 18.9s C = GumbelCopula{4, Float64}(θ = 2.203972804325936,) | 87 7 94 19.4s C = GumbelCopula{4, Float64}(θ = 100.0,) | 78 10 88 1.1s C = GumbelCopula{4, Float64}(θ = 20.0,) | 86 8 94 0.7s C = GumbelCopula{4, Float64}(θ = 7.0,) | 87 7 94 3.6s C = HuslerReissCopula{2, Float64}(θ = 0.1,) | 95 7 102 13.3s C = HuslerReissCopula{2, Float64}(θ = 0.256693308150987,) | 95 7 102 0.0s C = HuslerReissCopula{2, Float64}(θ = 1.6287031392529938,) | 95 7 102 0.0s C = HuslerReissCopula{2, Float64}(θ = 3.5,) | 95 7 102 0.0s C = HuslerReissCopula{2, Float64}(θ = 5.319851350643586,) | 95 7 102 0.0s C = InvGaussianCopula{2, Float64}(θ = 0.10536051565782628,) | 80 8 88 23.4s C = InvGaussianCopula{2, Float64}(θ = 1.0,) | 80 8 88 0.1s C = InvGaussianCopula{2, Float64}(θ = 0.2,) | 80 8 88 0.1s C = InvGaussianCopula{3, Float64}(θ = 0.5108256237659907,) | 73 8 81 15.3s C = InvGaussianCopula{3, Float64}(θ = 0.4,) | 73 8 81 0.1s C = InvGaussianCopula{4, Float64}(θ = 2.3025850929940455,) | 86 8 94 14.7s C = InvGaussianCopula{4, Float64}(θ = 0.05,) | 86 8 94 0.2s C = JoeCopula{2, Float64}(θ = 1.6931471805599454,) | 79 10 89 17.8s C = JoeCopula{2, Float64}(θ = 3.0,) | 79 10 89 0.2s C = JoeCopula{3, Float64}(θ = 2.203972804325936,) | 71 10 81 16.3s C = JoeCopula{3, Float64}(θ = 7.0,) | 71 10 81 1.5s C = JoeCopula{4, Float64}(θ = 3.3025850929940455,) | 83 10 93 18.9s C = LogCopula{2, Float64}(θ = 1.5,) | 113 5 118 13.3s C = LogCopula{2, Float64}(θ = 4.6,) | 113 5 118 0.0s C = LogCopula{2, Float64}(θ = 5.5,) | 113 5 118 0.0s C = MixedCopula{2, Float64}(θ = 0.2,) | 113 5 118 10.8s C = MixedCopula{2, Float64}(θ = 0.5,) | 113 5 118 0.2s C = MixedCopula{2, Float64}(θ = 1.0,) | 113 5 118 0.2s C = MOCopula{2, Float64}(λ₁ = 0.1, λ₂ = 0.2, λ₃ = 0.3) | 66 10 76 8.3s C = MOCopula{2, Float64}(λ₁ = 0.5, λ₂ = 0.5, λ₃ = 0.5) | 66 10 76 0.0s C = MOCopula{2, Float64}(λ₁ = 0.5960710257852946, λ₂ = 0.3313524247810329, λ₃ = 0.09653466861970061) | 66 10 76 0.0s C = MOCopula{2, Float64}(λ₁ = 1.0, λ₂ = 1.0, λ₃ = 1.0) | 66 10 76 0.0s C = MOCopula{2, Float64}(λ₁ = 0.1, λ₂ = 0.5, λ₃ = 0.9) | 66 10 76 0.0s C = PlackettCopula{2, Float64}(θ=0.5) | 90 6 96 15.9s C = PlackettCopula{2, Float64}(θ=0.8) | 90 6 96 0.2s C = PlackettCopula{2, Float64}(θ=2.0) | 90 6 96 0.7s C = RafteryCopula{2, Float64}(θ=0.2) | 63 7 70 14.3s C = RafteryCopula{3, Float64}(θ=0.5) | 56 6 62 16.0s C = SurvivalCopula(ClaytonCopula{2, Float64}(θ = -0.7,)) | 90 6 96 11.0s C = SurvivalCopula(RafteryCopula{2, Float64}(θ=0.2)) | 90 6 96 26.4s C = TCopula{2, Int64, Matrix{Float64}}(Σ = [1.0 0.7; 0.7 1.0])) | 66 6 72 33.4s C = TCopula{2, Int64, Matrix{Float64}}(Σ = [1.0 -0.5; -0.5 1.0])) | 66 6 72 9.6s C = TCopula{2, Int64, Matrix{Float64}}(Σ = [1.0 0.5; 0.5 1.0])) | 66 6 72 11.8s C = tEVCopula{2, Float64}(ν = 2.0, ρ = 0.5) | 82 7 89 11.3s C = tEVCopula{2, Float64}(ν = 4.0, ρ = 0.5) | 82 7 89 0.3s C = tEVCopula{2, Float64}(ν = 7.0, ρ = -0.33000000000000007) | 82 7 89 0.1s C = tEVCopula{2, Float64}(ν = 5.0, ρ = -0.5) | 82 7 89 0.1s C = tEVCopula{2, Float64}(ν = 5.466564460573727, ρ = -0.6566645244416698) | 82 7 89 0.1s C = WCopula{2}() | 60 10 70 3.1s C = ArchimedeanCopula(2, EmpiricalGenerator(4, 38)) | 54 10 64 5.3s C = ArchimedeanCopula(3, EmpiricalGenerator(3, 62)) | 46 10 56 4.6s C = BernsteinCopula(2, m=(10, 10)) | 55 9 64 0.5s C = BetaCopula{d}(2, 50) | 55 9 64 11.9s C = BetaCopula{d}(3, 50) | 47 9 56 4.9s C = CheckerboardCopula{2} ⟨m=[50, 50]⟩ | 59 8 67 7.4s C = CheckerboardCopula{3} ⟨m=[50, 50, 50]⟩ | 51 8 59 7.5s C = CheckerboardCopula{4} ⟨m=[50, 50, 50, 50]⟩ | 63 8 71 9.5s C = EmpiricalCopula{d}(2, 50) | 29 13 42 5.5s C = EmpiricalCopula{d}(2, 50) | 29 13 42 0.0s C = ExtremeValueCopula{2} ⟨EmpiricalEVTail(401 knots)⟩ | 103 9 112 11.6s C = ExtremeValueCopula{2} ⟨EmpiricalEVTail(401 knots)⟩ | 103 9 112 0.0s C = ExtremeValueCopula{2} ⟨EmpiricalEVTail(401 knots)⟩ | 103 9 112 0.0s C = NestedArchimedeanCopula{4}(ClaytonGenerator{Float64}(2.0), 2 children) | 67 6 73 7.7s C = NestedArchimedeanCopula{4}(GumbelGenerator{Float64}(1.5), 1 children) | 67 6 73 15.6s C = NestedArchimedeanCopula{3}(ClaytonGenerator{Float64}(1.0), 1 children) | 55 6 61 7.7s RNG of the outermost testset: Xoshiro(0xfab832af99d05306, 0x0f0b739931c8f675, 0x2ea8ec65e6ac718e, 0xdda8f5297347ab90, 0x20c5df9ad77f1f1b) ERROR: LoadError: Some tests did not pass: 25044 passed, 1 failed, 0 errored, 1855 broken. in expression starting at /home/pkgeval/.julia/packages/Copulas/EzQ7s/test/runtests.jl:31 Testing failed after 2041.37s ERROR: LoadError: Package Copulas 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:3283 [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 2608.46s: package has test failures