Package evaluation of MCMCChains on Julia 1.13.0-DEV.449 (8d6b63c3a6*) started at 2025-04-29T06:23:40.900 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 9.01s ################################################################################ # Installation # Installing MCMCChains... Resolving package versions... Installed Crayons ───────────────────── v4.1.1 Installed Adapt ─────────────────────── v4.3.0 Installed ScientificTypesBase ───────── v3.0.0 Installed IrrationalConstants ───────── v0.2.4 Installed OffsetArrays ──────────────── v1.17.0 Installed AbstractMCMC ──────────────── v5.6.0 Installed AxisArrays ────────────────── v0.4.7 Installed oneTBB_jll ────────────────── v2022.0.0+0 Installed Transducers ───────────────── v0.4.84 Installed Rmath ─────────────────────── v0.8.0 Installed HypergeometricFunctions ───── v0.3.28 Installed ArgCheck ──────────────────── v2.5.0 Installed ConsoleProgressMonitor ────── v0.1.2 Installed IntervalSets ──────────────── v0.7.11 Installed PrettyTables ──────────────── v2.4.0 Installed MLJModelInterface ─────────── v1.11.1 Installed PtrArrays ─────────────────── v1.3.0 Installed StatsFuns ─────────────────── v1.5.0 Installed Accessors ─────────────────── v0.1.42 Installed Preferences ───────────────── v1.4.3 Installed FFTW ──────────────────────── v1.8.1 Installed IterTools ─────────────────── v1.10.0 Installed TableTraits ───────────────── v1.0.1 Installed LoggingExtras ─────────────── v1.1.0 Installed NaturalSort ───────────────── v1.0.0 Installed StatisticalTraits ─────────── v3.4.0 Installed ProgressLogging ───────────── v0.1.4 Installed Tables ────────────────────── v1.12.0 Installed SpecialFunctions ──────────── v2.5.1 Installed PDMats ────────────────────── v0.11.34 Installed MKL_jll ───────────────────── v2025.0.1+1 Installed DataAPI ───────────────────── v1.16.0 Installed RecipesBase ───────────────── v1.3.4 Installed Baselet ───────────────────── v0.1.1 Installed Setfield ──────────────────── v1.1.2 Installed JLLWrappers ───────────────── v1.7.0 Installed AbstractFFTs ──────────────── v1.5.0 Installed StaticArrays ──────────────── v1.9.13 Installed ProgressMeter ─────────────── v1.10.4 Installed StaticArraysCore ──────────── v1.4.3 Installed IteratorInterfaceExtensions ─ v1.0.0 Installed DefineSingletons ──────────── v0.1.2 Installed ConstructionBase ──────────── v1.5.8 Installed DataValueInterfaces ───────── v1.0.0 Installed MicroCollections ──────────── v0.2.0 Installed OrderedCollections ────────── v1.8.0 Installed AbstractTrees ─────────────── v0.4.5 Installed PrecompileTools ───────────── v1.3.2 Installed LaTeXStrings ──────────────── v1.4.0 Installed InitialValues ─────────────── v0.3.1 Installed ChainRulesCore ────────────── v1.25.1 Installed KernelDensity ─────────────── v0.6.9 Installed MCMCDiagnosticTools ───────── v0.3.14 Installed FillArrays ────────────────── v1.13.0 Installed QuadGK ────────────────────── v2.11.2 Installed TerminalLoggers ───────────── v0.1.7 Installed Reexport ──────────────────── v1.2.2 Installed Rmath_jll ─────────────────── v0.5.1+0 Installed Ratios ────────────────────── v0.4.5 Installed Statistics ────────────────── v1.11.1 Installed Interpolations ────────────── v0.15.1 Installed AxisAlgorithms ────────────── v1.1.0 Installed SplittablesBase ───────────── v0.1.15 Installed DataStructures ────────────── v0.18.22 Installed LogExpFunctions ───────────── v0.3.29 Installed Requires ──────────────────── v1.3.1 Installed IntelOpenMP_jll ───────────── v2025.0.4+0 Installed LeftChildRightSiblingTrees ── v0.2.0 Installed AliasTables ───────────────── v1.1.3 Installed MacroTools ────────────────── v0.5.16 Installed FFTW_jll ──────────────────── v3.3.11+0 Installed RangeArrays ───────────────── v0.3.2 Installed StatsAPI ──────────────────── v1.7.0 Installed BangBang ──────────────────── v0.4.4 Installed Compat ────────────────────── v4.16.0 Installed CompositionsBase ──────────── v0.1.2 Installed OpenSpecFun_jll ───────────── v0.5.6+0 Installed LogDensityProblems ────────── v2.1.2 Installed Distributions ─────────────── v0.25.119 Installed MCMCChains ────────────────── v6.0.7 Installed StringManipulation ────────── v0.4.1 Installed WoodburyMatrices ──────────── v1.0.0 Installed InverseFunctions ──────────── v0.1.17 Installed Missings ──────────────────── v1.2.0 Installed SortingAlgorithms ─────────── v1.2.1 Installed StatsBase ─────────────────── v0.34.4 Installed DocStringExtensions ───────── v0.9.4 Installing 4 artifacts Installed artifact Rmath 121.9 KiB Installed artifact OpenSpecFun 194.9 KiB Installed artifact FFTW 2.2 MiB Installed artifact oneTBB 435.6 KiB Updating `~/.julia/environments/v1.13/Project.toml` [c7f686f2] + MCMCChains v6.0.7 Updating `~/.julia/environments/v1.13/Manifest.toml` [621f4979] + AbstractFFTs v1.5.0 [80f14c24] + AbstractMCMC v5.6.0 [1520ce14] + AbstractTrees v0.4.5 [7d9f7c33] + Accessors v0.1.42 [79e6a3ab] + Adapt v4.3.0 [66dad0bd] + AliasTables v1.1.3 [dce04be8] + ArgCheck v2.5.0 [13072b0f] + AxisAlgorithms v1.1.0 [39de3d68] + AxisArrays v0.4.7 [198e06fe] + BangBang v0.4.4 [9718e550] + Baselet v0.1.1 [d360d2e6] + ChainRulesCore v1.25.1 [34da2185] + Compat v4.16.0 [a33af91c] + CompositionsBase v0.1.2 [88cd18e8] + ConsoleProgressMonitor v0.1.2 [187b0558] + ConstructionBase v1.5.8 [a8cc5b0e] + Crayons v4.1.1 [9a962f9c] + DataAPI v1.16.0 [864edb3b] + DataStructures v0.18.22 [e2d170a0] + DataValueInterfaces v1.0.0 [244e2a9f] + DefineSingletons v0.1.2 [31c24e10] + Distributions v0.25.119 [ffbed154] + DocStringExtensions v0.9.4 [7a1cc6ca] + FFTW v1.8.1 [1a297f60] + FillArrays v1.13.0 [34004b35] + HypergeometricFunctions v0.3.28 [22cec73e] + InitialValues v0.3.1 [a98d9a8b] + Interpolations v0.15.1 [8197267c] + IntervalSets v0.7.11 [3587e190] + InverseFunctions v0.1.17 [92d709cd] + IrrationalConstants v0.2.4 [c8e1da08] + IterTools v1.10.0 [82899510] + IteratorInterfaceExtensions v1.0.0 [692b3bcd] + JLLWrappers v1.7.0 [5ab0869b] + KernelDensity v0.6.9 [b964fa9f] + LaTeXStrings v1.4.0 [1d6d02ad] + LeftChildRightSiblingTrees v0.2.0 [6fdf6af0] + LogDensityProblems v2.1.2 [2ab3a3ac] + LogExpFunctions v0.3.29 [e6f89c97] + LoggingExtras v1.1.0 [c7f686f2] + MCMCChains v6.0.7 [be115224] + MCMCDiagnosticTools v0.3.14 [e80e1ace] + MLJModelInterface v1.11.1 [1914dd2f] + MacroTools v0.5.16 [128add7d] + MicroCollections v0.2.0 [e1d29d7a] + Missings v1.2.0 [c020b1a1] + NaturalSort v1.0.0 [6fe1bfb0] + OffsetArrays v1.17.0 [bac558e1] + OrderedCollections v1.8.0 [90014a1f] + PDMats v0.11.34 [aea7be01] + PrecompileTools v1.3.2 [21216c6a] + Preferences v1.4.3 [08abe8d2] + PrettyTables v2.4.0 [33c8b6b6] + ProgressLogging v0.1.4 [92933f4c] + ProgressMeter v1.10.4 [43287f4e] + PtrArrays v1.3.0 [1fd47b50] + QuadGK v2.11.2 [b3c3ace0] + RangeArrays v0.3.2 [c84ed2f1] + Ratios v0.4.5 [3cdcf5f2] + RecipesBase v1.3.4 [189a3867] + Reexport v1.2.2 [ae029012] + Requires v1.3.1 [79098fc4] + Rmath v0.8.0 [30f210dd] + ScientificTypesBase v3.0.0 [efcf1570] + Setfield v1.1.2 [a2af1166] + SortingAlgorithms v1.2.1 [276daf66] + SpecialFunctions v2.5.1 [171d559e] + SplittablesBase v0.1.15 [90137ffa] + StaticArrays v1.9.13 [1e83bf80] + StaticArraysCore v1.4.3 [64bff920] + StatisticalTraits v3.4.0 [10745b16] + Statistics v1.11.1 [82ae8749] + StatsAPI v1.7.0 [2913bbd2] + StatsBase v0.34.4 [4c63d2b9] + StatsFuns v1.5.0 [892a3eda] + StringManipulation v0.4.1 [3783bdb8] + TableTraits v1.0.1 [bd369af6] + Tables v1.12.0 [5d786b92] + TerminalLoggers v0.1.7 [28d57a85] + Transducers v0.4.84 [efce3f68] + WoodburyMatrices v1.0.0 [f5851436] + FFTW_jll v3.3.11+0 [1d5cc7b8] + IntelOpenMP_jll v2025.0.4+0 [856f044c] + MKL_jll v2025.0.1+1 [efe28fd5] + OpenSpecFun_jll v0.5.6+0 [f50d1b31] + Rmath_jll v0.5.1+0 [1317d2d5] + oneTBB_jll v2022.0.0+0 [0dad84c5] + ArgTools v1.1.2 [56f22d72] + Artifacts v1.11.0 [2a0f44e3] + Base64 v1.11.0 [ade2ca70] + Dates v1.11.0 [8ba89e20] + Distributed 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 v1.12.0 [4af54fe1] + LazyArtifacts v1.11.0 [b27032c2] + LibCURL v0.6.4 [76f85450] + LibGit2 v1.11.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.12.0 [56ddb016] + Logging v1.11.0 [d6f4376e] + Markdown v1.11.0 [a63ad114] + Mmap v1.11.0 [ca575930] + NetworkOptions v1.3.0 [44cfe95a] + Pkg v1.12.0 [de0858da] + Printf v1.11.0 [3fa0cd96] + REPL v1.11.0 [9a3f8284] + Random v1.11.0 [ea8e919c] + SHA v0.7.0 [9e88b42a] + Serialization v1.11.0 [1a1011a3] + SharedArrays v1.11.0 [6462fe0b] + Sockets v1.11.0 [2f01184e] + SparseArrays v1.12.0 [f489334b] + StyledStrings v1.11.0 [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 v1.3.0+1 [deac9b47] + LibCURL_jll v8.12.1+1 [e37daf67] + LibGit2_jll v1.9.0+0 [29816b5a] + LibSSH2_jll v1.11.3+1 [14a3606d] + MozillaCACerts_jll v2024.12.31 [4536629a] + OpenBLAS_jll v0.3.29+0 [05823500] + OpenLibm_jll v0.8.5+0 [458c3c95] + OpenSSL_jll v3.0.16+0 [bea87d4a] + SuiteSparse_jll v7.10.1+0 [83775a58] + Zlib_jll v1.3.1+2 [8e850b90] + libblastrampoline_jll v5.12.0+0 [8e850ede] + nghttp2_jll v1.65.0+0 [3f19e933] + p7zip_jll v17.5.0+2 Installation completed after 9.99s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling packages... 5375.8 ms ✓ TestEnv 1 dependency successfully precompiled in 5 seconds. 25 already precompiled. Precompiling package dependencies... Precompilation completed after 1433.67s ################################################################################ # Testing # Testing MCMCChains Status `/tmp/jl_VvtGJn/Project.toml` [80f14c24] AbstractMCMC v5.6.0 [a93c6f00] DataFrames v1.7.0 [31c24e10] Distributions v0.25.119 [e30172f5] Documenter v1.10.2 [7a1cc6ca] FFTW v1.8.1 [82899510] IteratorInterfaceExtensions v1.0.0 [5ab0869b] KernelDensity v0.6.9 [c7f686f2] MCMCChains v6.0.7 [be115224] MCMCDiagnosticTools v0.3.14 [a7f614a8] MLJBase v1.8.1 [c6f25543] MLJDecisionTreeInterface v0.4.2 [91a5bcdd] Plots v1.40.13 [10745b16] Statistics v1.11.1 [2913bbd2] StatsBase v0.34.4 [f3b207a7] StatsPlots v0.15.7 [3783bdb8] TableTraits v1.0.1 [bd369af6] Tables v1.12.0 [b8865327] UnicodePlots v3.7.2 [ade2ca70] Dates v1.11.0 [56ddb016] Logging v1.11.0 [9a3f8284] Random v1.11.0 [9e88b42a] Serialization v1.11.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_VvtGJn/Manifest.toml` [a4c015fc] ANSIColoredPrinters v0.0.1 [621f4979] AbstractFFTs v1.5.0 [80f14c24] AbstractMCMC v5.6.0 [1520ce14] AbstractTrees v0.4.5 [7d9f7c33] Accessors v0.1.42 [79e6a3ab] Adapt v4.3.0 [66dad0bd] AliasTables v1.1.3 [dce04be8] ArgCheck v2.5.0 [7d9fca2a] Arpack v0.5.4 [a9b6321e] Atomix v1.1.1 [13072b0f] AxisAlgorithms v1.1.0 [39de3d68] AxisArrays v0.4.7 [198e06fe] BangBang v0.4.4 [9718e550] Baselet v0.1.1 [d1d4a3ce] BitFlags v0.1.9 [324d7699] CategoricalArrays v0.10.8 [af321ab8] CategoricalDistributions v0.1.15 [d360d2e6] ChainRulesCore v1.25.1 [aaaa29a8] Clustering v0.15.8 [944b1d66] CodecZlib v0.7.8 [35d6a980] ColorSchemes v3.29.0 [3da002f7] ColorTypes v0.12.1 [c3611d14] ColorVectorSpace v0.11.0 [5ae59095] Colors v0.13.0 [34da2185] Compat v4.16.0 [a33af91c] CompositionsBase v0.1.2 [ed09eef8] ComputationalResources v0.3.2 [f0e56b4a] ConcurrentUtilities v2.5.0 [88cd18e8] ConsoleProgressMonitor v0.1.2 [187b0558] ConstructionBase v1.5.8 [6add18c4] ContextVariablesX v0.1.3 [d38c429a] Contour v0.6.3 [a8cc5b0e] Crayons v4.1.1 [9a962f9c] DataAPI v1.16.0 [a93c6f00] DataFrames v1.7.0 [864edb3b] DataStructures v0.18.22 [e2d170a0] DataValueInterfaces v1.0.0 [7806a523] DecisionTree v0.12.4 [244e2a9f] DefineSingletons v0.1.2 [8bb1440f] DelimitedFiles v1.9.1 [b4f34e82] Distances v0.10.12 [31c24e10] Distributions v0.25.119 [ffbed154] DocStringExtensions v0.9.4 [e30172f5] Documenter v1.10.2 [460bff9d] ExceptionUnwrapping v0.1.11 [c87230d0] FFMPEG v0.4.2 [7a1cc6ca] FFTW v1.8.1 [cc61a311] FLoops v0.2.2 [b9860ae5] FLoopsBase v0.1.1 [1a297f60] FillArrays v1.13.0 [53c48c17] FixedPointNumbers v0.8.5 [1fa38f19] Format v1.3.7 [46192b85] GPUArraysCore v0.2.0 [28b8d3ca] GR v0.73.14 [d7ba0133] Git v1.3.1 [42e2da0e] Grisu v1.0.2 [cd3eb016] HTTP v1.10.16 [076d061b] HashArrayMappedTries v0.2.0 [34004b35] HypergeometricFunctions v0.3.28 [b5f81e59] IOCapture v0.2.5 [22cec73e] InitialValues v0.3.1 [842dd82b] InlineStrings v1.4.3 [a98d9a8b] Interpolations v0.15.1 [8197267c] IntervalSets v0.7.11 [3587e190] InverseFunctions v0.1.17 [41ab1584] InvertedIndices v1.3.1 [92d709cd] IrrationalConstants v0.2.4 [c8e1da08] IterTools v1.10.0 [82899510] IteratorInterfaceExtensions v1.0.0 [1019f520] JLFzf v0.1.11 [692b3bcd] JLLWrappers v1.7.0 [682c06a0] JSON v0.21.4 [b14d175d] JuliaVariables v0.2.4 [63c18a36] KernelAbstractions v0.9.34 [5ab0869b] KernelDensity v0.6.9 [b964fa9f] LaTeXStrings v1.4.0 [23fbe1c1] Latexify v0.16.7 [0e77f7df] LazilyInitializedFields v1.3.0 [92ad9a40] LearnAPI v1.0.1 [1d6d02ad] LeftChildRightSiblingTrees v0.2.0 [6fdf6af0] LogDensityProblems v2.1.2 [2ab3a3ac] LogExpFunctions v0.3.29 [e6f89c97] LoggingExtras v1.1.0 [c7f686f2] MCMCChains v6.0.7 [be115224] MCMCDiagnosticTools v0.3.14 [c2834f40] MLCore v1.0.0 [a7f614a8] MLJBase v1.8.1 [c6f25543] MLJDecisionTreeInterface v0.4.2 [e80e1ace] MLJModelInterface v1.11.1 [d8e11817] MLStyle v0.4.17 [f1d291b0] MLUtils v0.4.8 [1914dd2f] MacroTools v0.5.16 [299715c1] MarchingCubes v0.1.11 [d0879d2d] MarkdownAST v0.1.2 [739be429] MbedTLS v1.1.9 [442fdcdd] Measures v0.3.2 [128add7d] MicroCollections v0.2.0 [e1d29d7a] Missings v1.2.0 [6f286f6a] MultivariateStats v0.10.3 [872c559c] NNlib v0.9.30 [77ba4419] NaNMath v1.1.3 [71a1bf82] NameResolution v0.1.5 [c020b1a1] NaturalSort v1.0.0 [b8a86587] NearestNeighbors v0.4.21 [510215fc] Observables v0.5.5 [6fe1bfb0] OffsetArrays v1.17.0 [4d8831e6] OpenSSL v1.4.3 [bac558e1] OrderedCollections v1.8.0 [90014a1f] PDMats v0.11.34 [d96e819e] Parameters v0.12.3 [69de0a69] Parsers v2.8.3 [ccf2f8ad] PlotThemes v3.3.0 [995b91a9] PlotUtils v1.4.3 [91a5bcdd] Plots v1.40.13 [2dfb63ee] PooledArrays v1.4.3 [aea7be01] PrecompileTools v1.3.2 [21216c6a] Preferences v1.4.3 [8162dcfd] PrettyPrint v0.2.0 [08abe8d2] PrettyTables v2.4.0 [33c8b6b6] ProgressLogging v0.1.4 [92933f4c] ProgressMeter v1.10.4 [43287f4e] PtrArrays v1.3.0 [1fd47b50] QuadGK v2.11.2 [b3c3ace0] RangeArrays v0.3.2 [c84ed2f1] Ratios v0.4.5 [3cdcf5f2] RecipesBase v1.3.4 [01d81517] RecipesPipeline v0.6.12 [189a3867] Reexport v1.2.2 [2792f1a3] RegistryInstances v0.1.0 [05181044] 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Those with ⌃ may be upgradable, but those with ⌅ are restricted by compatibility constraints from upgrading. Testing Running tests... ESS/R-hat ┌ Warning: number of draws after splitting must be >4 but is 0. ESS cannot be computed. └ @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/hc08m/src/ess_rhat.jl:472 ┌ Warning: number of draws after splitting must be >4 but is 0. ESS cannot be computed. └ @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/hc08m/src/ess_rhat.jl:472 ┌ Warning: number of draws after splitting must be >4 but is 0. ESS cannot be computed. └ @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/hc08m/src/ess_rhat.jl:472 ┌ Warning: number of draws after splitting must be >4 but is 0. ESS cannot be computed. └ @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/hc08m/src/ess_rhat.jl:472 ┌ Warning: number of draws after splitting must be >4 but is 0. ESS cannot be computed. └ @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/hc08m/src/ess_rhat.jl:472 ┌ Warning: number of draws after splitting must be >4 but is 0. ESS cannot be computed. └ @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/hc08m/src/ess_rhat.jl:472 180.021073 seconds (30.13 M allocations: 8.135 GiB, 4.70% gc time, 29.65% compilation time: 4% of which was recompilation) MCSE 54.281395 seconds (8.70 M allocations: 775.222 MiB, 0.35% gc time, 29.30% compilation time) Tables interfaces 59.503882 seconds (34.26 M allocations: 2.031 GiB, 1.29% gc time, 85.79% compilation time: 15% of which was recompilation) Plotting traceplot ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀param_1⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ ┌────────────────────────────────────────┐ 4.77039 │⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢰⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ Chain 1 │⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡀⠀⠀⠀⠀⠀⠀⠀│ Chain 2 │⠀⡇⠀⢀⡄⢰⠀⠀⠀⠀⠀⡆⢰⠀⠀⢠⠀⠀⣾⠀⢀⡆⠀⠀⠀⠀⠀⢸⠀⢸⠀⢠⡇⡆⠀⠀⠀⡄⠀⠀│ Chain 3 │⠀⡇⢰⣼⣷⣿⠀⡇⣰⢠⢠⣧⣸⠀⡀⣸⡆⠀⣿⢰⢸⣿⠀⠀⠀⢀⡀⢸⢀⢸⡆⢸⣿⡇⠀⠀⢰⣇⢸⠀│ │⠀⡇⢸⣿⣿⣿⣾⣿⣿⣾⣾⣿⣿⣀⣷⣿⣧⡇⣿⢸⣸⣿⣸⣤⣇⣾⣧⣸⣿⢸⣇⣾⣿⣿⠀⡇⢸⣿⣾⠀│ │⠀⣧⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣆⣿⣿⣿⣿⠀│ │⠀⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⠀│ Sample value │⠀⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⠀│ │⠀⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⠀│ │⠀⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⠀│ │⠒⣿⣿⣿⣿⣿⣿⡟⣿⣿⣿⣿⢺⣿⢿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⡿⣿⣿⣿⣿⣿⡟⣿⣿⣿⠒│ │⠀⣿⣿⠇⡿⢿⠏⠇⡿⢸⠀⢿⠘⢹⢸⡿⡏⣿⡟⣿⠏⣿⡿⡿⠈⡏⣿⣿⣿⡇⣿⣿⢻⢿⣿⡇⢿⣿⡿⠀│ │⠀⡿⠿⠀⡇⢸⠀⠀⠃⠘⠀⠸⠀⠀⠘⠇⠃⢸⡇⠀⠀⠉⠁⠇⠀⠇⢹⠁⡟⠀⣿⡏⢸⢸⣿⡇⢸⣿⠁⠀│ │⠀⡇⠀⠀⠁⠸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢸⡇⠀⠀⠀⠀⠀⠀⠀⢸⠀⠁⠀⣿⡇⠀⠘⠀⠃⢸⠙⠀⠀│ -2.20176 │⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠸⠁⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠋⠃⠀⠀⠀⠀⠀⠀⠀⠀│ └────────────────────────────────────────┘ ⠀-13.97⠀⠀⠀⠀⠀⠀⠀⠀⠀Iteration⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀514.97⠀ meanplot ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀param_1⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ ┌────────────────────────────────────────┐ 1.86401 │⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ Chain 1 │⠀⣷⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ Chain 2 │⠀⣿⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ Chain 3 │⠀⣿⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⣿⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⣿⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⣿⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ Mean │⠀⣿⡀⠀⠀⠀⠀⠀⠀⠀⠀⠀⣀⣀⣀⣀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⣿⡇⠀⠀⠀⠀⠀⢠⣤⣞⣛⣡⣈⡭⠟⠛⠻⠞⠛⠶⠶⣿⡙⣛⣒⡶⢶⠶⣖⣶⣤⣤⣶⠒⠒⠦⠤⠤⠀│ │⠀⣿⣧⣀⣼⣦⣴⡟⣻⠞⠛⠟⠓⠞⠙⠉⠉⠛⠓⠲⢤⠤⠦⢭⣥⣀⣤⣠⣀⣀⡀⢀⣀⣈⣉⣉⣝⣭⢭⠀│ │⠀⣿⣼⣿⠿⠿⠟⠿⠃⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠉⠉⠉⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⣿⢻⡟⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⣿⣼⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⣿⣿⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ 0.512867 │⠀⡇⠇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ └────────────────────────────────────────┘ ⠀-13.97⠀⠀⠀⠀⠀⠀⠀⠀⠀Iteration⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀514.97⠀ density ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀param_1⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ ┌────────────────────────────────────────┐ 0.430407 │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢸⠀⠀⢀⡤⣤⢶⣄⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ Chain 1 │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢸⠀⠀⡜⢰⢫⢫⠈⢇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ Chain 2 │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢸⠀⢰⢁⢧⠃⠀⠣⣜⡆⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ Chain 3 │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢸⠀⡇⡾⠃⠀⠀⠀⠀⢹⣆⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢸⢸⡼⠁⠀⠀⠀⠀⠀⠀⢿⡀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢸⣷⠃⠀⠀⠀⠀⠀⠀⠀⠘⣧⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢸⡏⠀⠀⠀⠀⠀⠀⠀⠀⠀⢹⡄⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ Density │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢠⣿⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠈⣷⡀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢀⡞⢹⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠱⣻⢆⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⣰⡻⠀⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠣⣣⢣⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⢠⡟⠀⠀⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠉⢳⢧⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⠀⢠⠏⠀⠀⠀⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠘⡄⢳⡀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⣠⠏⠀⠀⠀⠀⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠘⣄⠱⡄⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⢀⣠⡾⠋⠀⠀⠀⠀⠀⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠘⠦⣝⣦⡀⠀⠀⠀⠀⠀⠀│ -0.00938728 │⠤⠶⠶⠿⠯⠤⠤⠤⠤⠤⠤⠤⢼⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠬⠽⠶⠦⠤⠤⠤│ └────────────────────────────────────────┘ ⠀-2.16608⠀⠀⠀⠀⠀Sample value⠀⠀⠀⠀⠀⠀⠀⠀4.73471⠀ ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀param_1⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ ┌────────────────────────────────────────┐ 0.419162 │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢸⠀⠀⠀⠀⡴⠲⢄⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ Chain 1 │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢸⠀⠀⠀⡜⠀⠀⠈⢦⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢸⠀⠀⡜⠀⠀⠀⠀⠀⢣⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢸⠀⡸⠀⠀⠀⠀⠀⠀⠀⣇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢸⢠⠃⠀⠀⠀⠀⠀⠀⠀⠸⡀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢸⡜⠀⠀⠀⠀⠀⠀⠀⠀⠀⢇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢸⠁⠀⠀⠀⠀⠀⠀⠀⠀⠀⠸⡀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ Density │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢀⢾⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢣⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢠⠊⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠈⢦⡀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⢠⠃⠀⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠑⢄⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⢠⠃⠀⠀⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠈⢆⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⠀⢠⠃⠀⠀⠀⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠈⡆⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⣠⠃⠀⠀⠀⠀⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠈⢆⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⣀⠔⠁⠀⠀⠀⠀⠀⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠳⢤⣀⠀⠀⠀⠀⠀⠀│ -0.0112109 │⠤⠶⠶⠯⠥⠤⠤⠤⠤⠤⠤⠤⢼⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠭⠷⠦⠤⠤⠤│ └────────────────────────────────────────┘ ⠀-2.15981⠀⠀⠀⠀⠀Sample value⠀⠀⠀⠀⠀⠀⠀⠀4.72844⠀ autocorplot ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀param_1⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ ┌────────────────────────────────────────┐ 1.03259 │⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ Chain 1 │⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ Chain 2 │⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ Chain 3 │⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⣿⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⣿⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⣿⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ Autocorrelation │⠀⣿⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⣿⡀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⡇⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⡇⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⡇⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⡇⡇⠀⠀⢀⠜⡄⡠⠻⣠⣀⡀⡠⡀⠀⣤⠀⠀⠀⢀⠀⠀⠀⡰⢄⢠⠚⡄⠀⠀⡰⢲⢦⡔⠒⡆⠀⡜⠀│ │⠒⡗⣷⣲⣖⡺⠖⢳⢓⢶⢿⠞⠻⡶⣷⡺⠛⣷⡶⢶⠚⢻⣷⣲⣓⣲⡳⢖⠞⠶⡶⠷⠓⠚⡗⡻⠚⣾⠞⠒│ -0.118903 │⠀⡇⠘⠁⠀⠈⠢⠊⠉⠉⠀⠀⠀⠑⠁⠀⠀⠈⠉⠁⠑⠁⠀⠈⠒⠁⠀⠀⠀⠀⠀⠀⠀⠀⠈⠀⠀⠁⠀⠀│ └────────────────────────────────────────┘ ⠀-0.81⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀Lag⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀27.81⠀ ridgelineplot ┌────────────────────────────────────────┐ 3.78235 │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢸⠀⠀⠀⣴⠀⠀⠀⡀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ Mean │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢸⠀⠀⠀⣿⠀⠀⠀⣧⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ Median │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢸⠀⠀⠀⣿⠀⠀⠀⣿⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ 95% HPDI │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢸⠀⠀⠀⣿⠀⠀⢸⢹⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢸⠀⠀⠀⣿⡆⠀⢸⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢸⠀⠀⢠⢿⡇⠀⢸⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢸⠀⠀⢸⢸⡇⠀⢸⢸⡀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ Parameters │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢸⠀⠀⢸⢸⡇⠀⡼⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢸⠀⠐⠚⚬⠛⠒⠓⠂⠓⢀⣀⣀⣀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢸⠀⠀⠀⠀⢀⣀⡤⠖⠋⠉⢸⡇⠈⠑⠦⣄⣀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⠀⠠⠤⠤⠖⢺⠒⠒⠒⠺⠭⢤⣤⣤⠤⠤⚬⠧⠤⠤⠤⠤⠬⠭⠽⠒⠒⠒⠒⠲⠤⠤⠤⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢸⠀⢀⣠⠴⠚⠉⠀⡏⠉⠙⠲⠤⣀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠤⠤⠤⠴⠒⠒⢺⠾⠭⢤⣤⣤⠤⠤⚬⠤⠤⠤⠤⠬⠭⠗⠒⠒⠲⠤⠤⠤⠤⠤⠄⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⢀⣀⣸⠖⠋⠉⢸⠈⠙⠲⢤⣀⡀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ 0.0956598 │⠀⠤⠤⠤⠤⠤⠴⠒⠺⠭⠤⢼⠤⠤⠤⚬⠤⠤⠤⠤⠤⠭⠽⠒⠒⠲⠤⠤⠤⠤⠤⠤⠄⠀⠀⠀⠀⠀⠀⠀│ └────────────────────────────────────────┘ ⠀-3.13502⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀7.49865⠀ forestplot ┌────────────────────────────────────────┐ 1.745 │⠀⠀⠀⠀⠀⠀⢸⠀⠀⠀⠀⠀⚬⠒⠒⠒⚬⠒⠒⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ 95% HPDI │⠀⠀⠀⠀⠀⠀⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ 80% HPDI │⠀⠀⠀⠀⠀⠀⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ Median │⠀⠀⠀⠀⠀⠀⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ Mean │⠀⠀⠀⠀⠀⠀⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⢸⠀⠀⠀⠀⠀⠀⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⚬⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠀│ │⠀⠀⠀⠀⠀⠀⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ Parameters │⠀⠀⠀⠀⠀⠀⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⢸⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⚬⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⡀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ 0.155 │⠀⠤⠤⠤⠤⠤⢼⠤⠤⠤⠤⠤⠤⚬⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠄⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ └────────────────────────────────────────┘ ⠀-1.03466⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀5.25898⠀ histogram ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀param_1⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ ┌────────────────────────────────────────┐ 111 │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⠀⢸⠉⚬⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ Chain 1 │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⠀⢸⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ Chain 1 │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⠀⢸⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ Chain 2 │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⠀⢸⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ Chain 2 │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⡏⚬⢹⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ Chain 3 │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡏⚬⡇⠀⢸⠀⠀⡧⚬⢤⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ Chain 3 │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⡇⠀⢸⠀⠀⡇⠀⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ Frequency │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⡇⠀⢸⠀⠀⡇⠀⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⡇⢸⚬⠀⠀⡇⠀⢸⚬⢹⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢸⚬⠉⡇⚬⣿⚬⚬⚬⚬⚬⚬⢸⠀⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢸⠀⠀⡇⚬⚬⢸⢸⚬⢸⚬⚬⢸⠀⢸⣀⚬⡀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢸⠀⠀⚬⣿⚬⢸⢸⢸⚬⣿⢸⚬⠀⢸⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⡏⚬⚬⚬⚬⡇⣿⣿⢸⢸⢸⢸⣿⢸⚬⚬⚬⚬⡄⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⚬⚬⚬⚬⡇⡇⣿⣿⢸⢸⢸⢸⣿⢸⢸⚬⚬⚬⚬⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ 0 │⠀⠀⣀⚬⣠⚬⚬⚬⚬⚬⚬⣿⣇⣇⣇⣿⣿⣸⣸⣸⣸⣿⣸⣸⣸⣿⣇⚬⚬⚬⚬⚬⚬⣆⚬⣀⚬⣀⠀⠀│ └────────────────────────────────────────┘ ⠀-2.9635⠀⠀⠀⠀⠀⠀Sample value⠀⠀⠀⠀⠀⠀⠀⠀⠀5.4635⠀ mixeddensity ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀param_1⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ ┌────────────────────────────────────────┐ 0.430407 │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢸⠀⠀⢀⡤⣤⢶⣄⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ Chain 1 │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢸⠀⠀⡜⢰⢫⢫⠈⢇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ Chain 2 │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢸⠀⢰⢁⢧⠃⠀⠣⣜⡆⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ Chain 3 │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢸⠀⡇⡾⠃⠀⠀⠀⠀⢹⣆⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢸⢸⡼⠁⠀⠀⠀⠀⠀⠀⢿⡀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢸⣷⠃⠀⠀⠀⠀⠀⠀⠀⠘⣧⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢸⡏⠀⠀⠀⠀⠀⠀⠀⠀⠀⢹⡄⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ Density │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢠⣿⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠈⣷⡀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢀⡞⢹⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠱⣻⢆⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⣰⡻⠀⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠣⣣⢣⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⢠⡟⠀⠀⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠉⢳⢧⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⠀⢠⠏⠀⠀⠀⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠘⡄⢳⡀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⣠⠏⠀⠀⠀⠀⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠘⣄⠱⡄⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⢀⣠⡾⠋⠀⠀⠀⠀⠀⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠘⠦⣝⣦⡀⠀⠀⠀⠀⠀⠀│ -0.00938728 │⠤⠶⠶⠿⠯⠤⠤⠤⠤⠤⠤⠤⢼⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠬⠽⠶⠦⠤⠤⠤│ └────────────────────────────────────────┘ ⠀-2.16608⠀⠀⠀⠀⠀Sample value⠀⠀⠀⠀⠀⠀⠀⠀4.73471⠀ corner ┌────────────────────────────────────────┐ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡏⚬⢹⠒⚬⡆⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⢸⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⢸⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡤⚬⡇⠀⢸⠀⠀⡏⚬⢹⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⡇⠀⢸⠀⠀⡇⠀⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⡇⠀⢸⠀⠀⡇⠀⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⡇⠀⢸⠀⠀⡇⠀⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⡇⠀⢸⠀⠀⡇⠀⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢠⚬⠤⡇⠀⡇⠀⢸⠀⠀⡇⠀⢸⚬⢤⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢸⠀⠀⡇⠀⡇⠀⢸⠀⠀⡇⠀⢸⠀⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢸⠀⠀⡇⠀⡇⠀⢸⠀⠀⡇⠀⢸⠀⢸⣀⚬⡀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⡤⚬⢼⠀⠀⡇⠀⡇⠀⢸⠀⠀⡇⠀⢸⠀⢸⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⢸⠀⠀⡇⠀⡇⠀⢸⠀⠀⡇⠀⢸⠀⢸⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⢀⣀⚬⡇⠀⢸⠀⠀⡇⠀⡇⠀⢸⠀⠀⡇⠀⢸⠀⢸⠀⠀⣇⚬⣀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⣀⚬⣠⚬⣼⣀⣀⣇⣀⣸⣀⣀⣇⣀⣇⣀⣸⣀⣀⣇⣀⣸⣀⣸⣀⣀⣇⣀⣸⚬⣒⣆⚬⣀⚬⣀⠀⠀│ └────────────────────────────────────────┘ ┌────────────────────────────────────────┐ ┌────────────────────────────────────────┐ 300.796 │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⚬⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⚬⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⚬⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⚬⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ param_2 │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⚬⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⚬⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⚬⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ -9.99085 │⠤⠤⠤⠤⚬⠶⚬⚬⚬⚬⚬⚬⚬⚬⚬⚬⚬⚬⚬⚬⚬⚬⚬⚬⚬⚬⚬⚬⚬⚬⚬⚬⚬⠶⠶⚬⠤⠤⠤⠤│ │⠀⚬⣤⣤⣤⣤⣤⣤⣤⣄⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⠀│ └────────────────────────────────────────┘ └────────────────────────────────────────┘ ⠀-2.9635⠀⠀⠀⠀⠀⠀⠀⠀⠀param_1⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀5.4635⠀ ┌────────────────────────────────────────┐ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡏⚬⠉⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⡧⚬⢤⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⡇⠀⢸⠤⚬⢤⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡤⚬⠤⡇⠀⠀⡇⠀⢸⠀⠀⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⡇⠀⠀⡇⠀⢸⠀⠀⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⡇⠀⠀⡇⠀⢸⠀⠀⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⡇⠀⠀⡇⠀⢸⠀⠀⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⡇⠀⠀⡇⠀⢸⠀⠀⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡖⚬⠒⡇⠀⠀⡇⠀⠀⡇⠀⢸⠀⠀⢸⠤⚬⢤⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⡇⠀⠀⡇⠀⠀⡇⠀⢸⠀⠀⢸⠀⠀⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⣀⚬⣀⡇⠀⠀⡇⠀⠀⡇⠀⠀⡇⠀⢸⠀⠀⢸⠀⠀⢸⠤⚬⢤⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⡇⠀⠀⡇⠀⠀⡇⠀⠀⡇⠀⢸⠀⠀⢸⠀⠀⢸⠀⠀⢸⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⣀⚬⣀⡇⠀⠀⡇⠀⠀⡇⠀⠀⡇⠀⠀⡇⠀⢸⠀⠀⢸⠀⠀⢸⠀⠀⢸⣀⚬⣀⠀⠀⠀⠀⠀│ │⠀⠀⣀⚬⣀⣇⣀⣀⣇⣀⣀⣇⣀⣀⣇⣀⣀⣇⣀⣀⣇⣀⣸⣀⣀⣸⣀⣀⣸⣀⣀⣸⣀⣀⣸⣒⚬⣲⠀⠀│ └────────────────────────────────────────┘ ┌────────────────────────────────────────┐ ┌────────────────────────────────────────┐ 199.855 │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⚬⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⚬⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ param_2 │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⚬⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⚬⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⚬⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⚬⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⚬⚬⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ -7.0354 │⠒⠒⠒⠒⚬⚬⚬⚬⚬⚬⚬⚬⚬⚬⚬⚬⚬⚬⚬⚬⚬⚬⚬⚬⚬⚬⚬⚬⚬⚬⚬⚬⚬⚬⚬⚬⚬⠒⠒⠒│ │⠀⚬⚬⣤⣤⣤⣤⣤⣤⣤⣤⣤⣤⣤⣤⣤⣤⣤⣤⣤⣤⣤⣤⣤⣤⣤⣤⣤⣤⣤⣤⣤⣤⣤⣤⣤⣤⣤⣤⠀│ └────────────────────────────────────────┘ └────────────────────────────────────────┘ ⠀-2.3708⠀⠀⠀⠀⠀⠀⠀⠀⠀param_1⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀4.3708⠀ ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀param_1⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀param_1⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ ┌────────────────────────────────────────┐ ┌────────────────────────────────────────┐ 4.77039 │⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢰⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ 0.430407 │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢸⠀⠀⢀⡤⣤⢶⣄⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢸⠀⠀⡜⢰⢫⢫⠈⢇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⡇⠀⢀⡄⢰⠀⠀⠀⠀⠀⡆⢰⠀⠀⢠⠀⠀⣾⠀⢀⡆⠀⠀⠀⠀⠀⢸⠀⢸⠀⢠⡇⡆⠀⠀⠀⡄⠀⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢸⠀⢰⢁⢧⠃⠀⠣⣜⡆⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⡇⢰⣼⣷⣿⠀⡇⣰⢠⢠⣧⣸⠀⡀⣸⡆⠀⣿⢰⢸⣿⠀⠀⠀⢀⡀⢸⢀⢸⡆⢸⣿⡇⠀⠀⢰⣇⢸⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢸⠀⡇⡾⠃⠀⠀⠀⠀⢹⣆⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⡇⢸⣿⣿⣿⣾⣿⣿⣾⣾⣿⣿⣀⣷⣿⣧⡇⣿⢸⣸⣿⣸⣤⣇⣾⣧⣸⣿⢸⣇⣾⣿⣿⠀⡇⢸⣿⣾⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢸⢸⡼⠁⠀⠀⠀⠀⠀⠀⢿⡀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⣧⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣆⣿⣿⣿⣿⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢸⣷⠃⠀⠀⠀⠀⠀⠀⠀⠘⣧⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢸⡏⠀⠀⠀⠀⠀⠀⠀⠀⠀⢹⡄⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ Sample value │⠀⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⠀│ Density │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢠⣿⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠈⣷⡀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢀⡞⢹⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠱⣻⢆⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⣰⡻⠀⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠣⣣⢣⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠒⣿⣿⣿⣿⣿⣿⡟⣿⣿⣿⣿⢺⣿⢿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⡿⣿⣿⣿⣿⣿⡟⣿⣿⣿⠒│ │⠀⠀⠀⠀⠀⠀⠀⠀⢠⡟⠀⠀⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠉⢳⢧⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⣿⣿⠇⡿⢿⠏⠇⡿⢸⠀⢿⠘⢹⢸⡿⡏⣿⡟⣿⠏⣿⡿⡿⠈⡏⣿⣿⣿⡇⣿⣿⢻⢿⣿⡇⢿⣿⡿⠀│ │⠀⠀⠀⠀⠀⠀⠀⢠⠏⠀⠀⠀⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠘⡄⢳⡀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⡿⠿⠀⡇⢸⠀⠀⠃⠘⠀⠸⠀⠀⠘⠇⠃⢸⡇⠀⠀⠉⠁⠇⠀⠇⢹⠁⡟⠀⣿⡏⢸⢸⣿⡇⢸⣿⠁⠀│ │⠀⠀⠀⠀⠀⠀⣠⠏⠀⠀⠀⠀⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠘⣄⠱⡄⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⡇⠀⠀⠁⠸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢸⡇⠀⠀⠀⠀⠀⠀⠀⢸⠀⠁⠀⣿⡇⠀⠘⠀⠃⢸⠙⠀⠀│ │⠀⠀⠀⢀⣠⡾⠋⠀⠀⠀⠀⠀⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠘⠦⣝⣦⡀⠀⠀⠀⠀⠀⠀│ -2.20176 │⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠸⠁⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠋⠃⠀⠀⠀⠀⠀⠀⠀⠀│ -0.00938728 │⠤⠶⠶⠿⠯⠤⠤⠤⠤⠤⠤⠤⢼⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠬⠽⠶⠦⠤⠤⠤│ └────────────────────────────────────────┘ └────────────────────────────────────────┘ ⠀-13.97⠀⠀⠀⠀⠀⠀⠀⠀⠀Iteration⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀514.97⠀ ⠀-2.16608⠀⠀⠀⠀⠀Sample value⠀⠀⠀⠀⠀⠀⠀⠀4.73471⠀ ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀param_2⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀param_2⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ ┌────────────────────────────────────────┐ ┌────────────────────────────────────────┐ 5.66907 │⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⡆⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ 0.430876 │⠀⠀⠀⠀⠀⠀⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⢀⠔⢢⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⢀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡄⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⢸⠀⠀⠀⠀⠀⠀⠀⠀⣠⢇⠖⠛⢷⡀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⡇⠀⠀⣷⠀⢀⡄⠀⡇⣷⠀⢸⠀⣧⣀⠀⠀⠀⠀⠀⠀⠀⡀⠀⠀⠀⢀⠀⠀⠀⡄⡄⣀⢸⡇⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⢸⠀⠀⠀⠀⠀⠀⠀⣰⢏⠎⠱⡀⠀⠹⡒⢄⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⡇⡆⡀⣿⡄⢸⣇⡀⡇⣿⠀⢸⡄⣿⣿⡇⢀⠀⣶⠀⠀⢸⣇⠀⢀⡆⢸⠀⠀⣤⣿⡇⣿⢸⡇⡇⡀⠀⠀│ │⠀⠀⠀⠀⠀⠀⢸⠀⠀⠀⠀⠀⠀⢰⢏⠎⠀⠀⠑⣄⠀⢱⠀⢣⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⣷⣿⣧⣿⡇⢸⣿⣷⡇⣿⠀⣼⡇⣿⣿⡇⣼⡄⣿⣷⢸⣸⣿⡇⣿⡇⣸⣧⡄⣿⣿⣧⣿⣼⡇⡇⣧⢰⠀│ │⠀⠀⠀⠀⠀⠀⢸⠀⠀⠀⠀⠀⢀⡟⡜⠀⠀⠀⠀⠀⠉⠪⣆⠘⡆⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⣿⣿⣿⣿⣧⣿⣿⣿⣧⣿⣿⣿⡇⣿⣿⣷⣿⣧⣿⣿⣼⣿⣿⣷⣿⣧⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣾⠀│ │⠀⠀⠀⠀⠀⠀⢸⠀⠀⠀⠀⠀⣼⣹⠀⠀⠀⠀⠀⠀⠀⠀⠙⣦⢹⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⡇⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⠀│ │⠀⠀⠀⠀⠀⠀⢸⠀⠀⠀⠀⢰⣏⠇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠈⢯⡆⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ Sample value │⠀⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⠀│ Density │⠀⠀⠀⠀⠀⠀⢸⠀⠀⠀⢀⢷⡏⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠘⣾⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⠀│ │⠀⠀⠀⠀⠀⠀⢸⠀⠀⠀⣎⡟⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠘⣇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⠀│ │⠀⠀⠀⠀⠀⠀⢸⠀⠀⡜⡼⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠹⡆⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⡿⣿⣿⣿⣿⢿⣿⣿⢹⣿⣿⣿⣿⣿⡿⣿⣿⣿⡿⣿⣿⣿⣿⣿⣿⡏⣿⣿⣿⣿⢿⢹⡿⣿⣿⣿⣿⣿⠀│ │⠀⠀⠀⠀⠀⠀⢸⠀⡰⡱⠁⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢻⡄⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⡇⣿⣿⢻⠙⢸⣿⣿⠸⣿⣿⡿⣿⣿⡇⢿⢹⣿⠁⢻⡟⠹⢹⣿⣿⡇⠃⡟⡏⡿⠀⢸⡇⢿⢸⢹⢿⢻⠀│ │⠀⠀⠀⠀⠀⠀⢸⢠⡳⠁⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢻⡄⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠒⡗⠟⠗⠚⠒⠚⣿⣿⠒⡗⡗⡗⣿⣿⡗⠚⠒⡟⠒⠚⡗⠒⠚⠒⠚⠗⠒⠒⠒⠓⠒⢺⡗⠺⢺⢺⢺⠚⠒│ │⠀⠀⠀⠀⠀⠀⣸⣷⠁⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠙⢦⡀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⡇⠀⠀⠀⠀⠀⡟⢹⠀⠃⠃⡇⠀⡟⠀⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢸⠀⠀⠀⠈⠈⠀⠀│ │⠀⠀⠀⣀⣤⣾⣿⠃⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠈⠙⠦⣄⡀⠀⠀⠀⠀⠀│ -1.13707 │⠀⡇⠀⠀⠀⠀⠀⠁⠸⠀⠀⠀⠃⠀⠁⠀⠀⠀⠁⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠘⠀⠀⠀⠀⠀⠀⠀│ -0.00977269 │⠤⠾⠿⠿⠭⠥⢼⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠬⠽⠿⠦⠤⠤⠤│ └────────────────────────────────────────┘ └────────────────────────────────────────┘ ⠀-13.97⠀⠀⠀⠀⠀⠀⠀⠀⠀Iteration⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀514.97⠀ ⠀-1.1268⠀⠀⠀⠀⠀⠀Sample value⠀⠀⠀⠀⠀⠀⠀⠀5.63376⠀ ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀param_3⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀param_3⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ ┌────────────────────────────────────────┐ ┌────────────────────────────────────────┐ 6.55969 │⠀⡇⠀⠀⠀⠀⠀⠀⢰⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ 0.414692 │⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢀⡴⢦⣤⢄⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⡇⠀⠀⠀⠀⠀⠀⢸⣄⡆⠀⠀⠀⠀⠀⠀⡀⠀⠀⢠⠀⠀⠀⠀⡄⢀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡞⡠⠋⢫⢣⢇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⡇⠀⢰⡆⠀⠀⠀⣾⣿⡇⠀⠀⡀⢰⢀⢀⡇⡇⠀⢸⠀⠀⢠⡀⡇⣸⡆⣤⡀⠀⠀⢀⢀⠀⠀⠀⠀⢠⠀│ │⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡼⡜⠀⠀⠀⢣⢻⡄⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⡇⢸⢸⣿⣀⢠⡀⣿⣿⣿⠀⠀⣷⢸⣾⣼⣧⣇⢸⣾⡀⡆⢸⣧⡇⣿⡇⣿⣇⢠⡄⣾⢸⠀⣠⡄⠀⣼⠀│ │⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⣼⠋⠀⠀⠀⠀⠘⡄⣇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⣿⣿⣼⣿⣿⢸⡇⣿⣿⣿⣾⣶⣿⣿⣿⣿⣿⣿⣸⣿⣷⡇⣼⣿⣇⣿⣷⣿⣿⢸⣷⣿⣿⢰⣿⣷⣴⣿⠀│ │⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⣼⠇⠀⠀⠀⠀⠀⠀⠘⡼⡀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⣿⣿⣿⣿⣿⣸⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣾⣿⣿⣿⣼⣿⣿⣿⣿⠀│ │⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⣸⡹⠀⠀⠀⠀⠀⠀⠀⠀⠸⣧⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⠀│ │⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⢰⢧⠃⠀⠀⠀⠀⠀⠀⠀⠀⠀⢹⡄⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ Sample value │⠀⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⠀│ Density │⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⢀⠎⡜⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢣⡀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⠀│ │⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⡜⡸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠈⢧⡀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⠀│ │⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⣸⠟⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠘⣗⡄⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⣿⣿⣿⡿⣿⣿⣿⡇⣿⣿⣿⣿⡏⡇⢹⣿⣿⣿⣿⡏⣿⣿⣿⢿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⢿⣿⣿⣿⠀│ │⠀⠀⡇⠀⠀⠀⠀⠀⢀⢼⠇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠘⢾⣄⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⣿⢻⠏⠀⢻⣿⣿⠃⣿⡟⣿⡿⠃⠇⠸⠟⡿⡇⢿⠁⣿⠻⠁⢸⠛⢿⠁⡇⢻⣿⢻⣿⣿⢹⢸⣿⡟⣿⠀│ │⠀⠀⡇⠀⠀⠀⠀⢠⢊⡟⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢻⣆⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⡇⠀⠀⠀⢸⠘⡟⠀⢻⠁⠉⡇⠀⠀⠀⠀⠇⠃⢸⠀⣿⠀⠀⠘⠀⠸⠀⠀⢸⡏⢸⢸⢻⠈⢸⡟⡇⠉⠀│ │⠀⠀⡇⠀⠀⠀⢠⢃⡾⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢫⣷⣄⠀⠀⠀⠀⠀⠀⠀│ │⠀⡇⠀⠀⠀⠸⠀⠁⠀⠸⠀⠀⠇⠀⠀⠀⠀⠀⠀⠀⠀⠸⠀⠀⠀⠀⠀⠀⠀⠸⡇⠘⢸⠀⠀⠘⠃⡇⠀⠀│ │⠀⠀⡇⢀⣀⣠⡷⠛⠁⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠙⠛⢷⣤⢄⡀⠀⠀⠀│ -0.392045 │⠉⡏⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠏⠉⠙⠉⠉⠉⠉⠉⠉⠉│ -0.00790231 │⠤⠶⡯⠿⠯⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠭⠭⠶⠦⠤│ └────────────────────────────────────────┘ └────────────────────────────────────────┘ ⠀-13.97⠀⠀⠀⠀⠀⠀⠀⠀⠀Iteration⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀514.97⠀ ⠀-0.372442⠀⠀⠀⠀Sample value⠀⠀⠀⠀⠀⠀⠀⠀6.54008⠀ ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀param_4⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀param_4⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ ┌────────────────────────────────────────┐ ┌────────────────────────────────────────┐ 2.03 │⠀⣷⣶⣶⣶⣶⣶⣶⣶⣶⣶⣶⣶⣶⣶⣶⣶⣶⣶⣶⣶⣶⣶⣶⣶⣶⣶⣶⣶⣶⣶⣶⣶⣶⣶⣶⣶⣶⣶⠀│ 268 │⠀⠀⡯⚬⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⠀│ │⠀⠀⡏⚬⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⚬⢻⠀⠀│ │⠀⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⠀│ │⠀⠀⡇⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⚬⢹⠀⠀│ │⠀⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⠀│ │⠀⠀⡇⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⢸⠀⠀│ │⠀⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⠀│ │⠀⠀⡇⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⢸⠀⠀│ │⠀⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⠀│ │⠀⠀⡇⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⢸⠀⠀│ │⠀⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⠀│ │⠀⠀⡇⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⢸⠀⠀│ Sample value │⠀⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⠀│ Frequency │⠀⠀⡇⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⢸⠀⠀│ │⠀⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⠀│ │⠀⠀⡇⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⢸⠀⠀│ │⠀⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⠀│ │⠀⠀⡇⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⢸⠀⠀│ │⠀⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⠀│ │⠀⠀⡇⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⢸⠀⠀│ │⠀⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⠀│ │⠀⠀⡇⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⢸⠀⠀│ │⠀⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⠀│ │⠀⠀⡇⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⢸⠀⠀│ │⠀⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⠀│ │⠀⠀⡇⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⢸⠀⠀│ 0.97 │⠀⡿⠿⠿⠿⠿⠿⠿⠿⠿⠿⠿⠿⠿⠿⠿⠿⠿⠿⠿⠿⠿⠿⠿⠿⠿⠿⠿⠿⠿⠿⠿⠿⠿⠿⠿⠿⠿⠿⠀│ 0 │⠀⠀⣇⣸⚬⣀⚬⣀⚬⚬⣀⚬⣀⚬⚬⣀⚬⣀⚬⚬⣀⚬⣀⚬⣀⚬⚬⣀⚬⣀⚬⚬⣀⚬⣀⚬⣇⣸⠀⠀│ └────────────────────────────────────────┘ └────────────────────────────────────────┘ ⠀-13.97⠀⠀⠀⠀⠀⠀⠀⠀⠀Iteration⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀514.97⠀ ⠀0.93511⠀⠀⠀⠀⠀⠀Sample value⠀⠀⠀⠀⠀⠀⠀⠀2.11489⠀ ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀param_1⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀param_1⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ ┌────────────────────────────────────────┐ ┌────────────────────────────────────────┐ 4.77039 │⠀⡇⠀⠀⠀⠀⢰⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ 0.419162 │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢸⠀⠀⠀⠀⡴⠲⢄⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⡇⠀⠀⠀⠀⢸⠀⠀⠀⠀⡀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢸⠀⠀⠀⡜⠀⠀⠈⢦⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⡇⠀⠀⢰⠀⢸⢰⠀⠀⠀⣷⠀⠀⢠⡆⠀⠀⠀⢰⠀⠀⢸⠀⠀⠀⠀⡀⠀⢰⠀⡄⠀⠀⠀⢸⢠⠀⡄⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢸⠀⠀⡜⠀⠀⠀⠀⠀⢣⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⣇⠀⣷⣼⢀⣾⢸⡇⡀⡀⣿⠀⣾⣾⡇⣦⡀⢰⢸⠀⠀⣸⠀⡇⢠⡇⣿⢀⢸⢀⡇⣰⠀⠀⢸⢸⠀⡇⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢸⠀⡸⠀⠀⠀⠀⠀⠀⠀⣇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⣿⣿⣿⣿⣸⣿⢸⣿⣷⣧⣿⡇⣿⣿⣿⣿⣷⣿⣾⣸⣴⣿⢰⡇⣾⣿⣿⣾⣾⣼⡇⣿⡆⣆⢸⣿⡄⣧⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢸⢠⠃⠀⠀⠀⠀⠀⠀⠀⠸⡀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⡇⣿⣿⣿⣿⣿⣿⣿⣿⡇⣿⣾⣿⣷⣿⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢸⡜⠀⠀⠀⠀⠀⠀⠀⠀⠀⢇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣷⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢸⠁⠀⠀⠀⠀⠀⠀⠀⠀⠀⠸⡀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ Sample value │⠀⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⠀│ Density │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢀⢾⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢣⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢠⠊⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠈⢦⡀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⣿⣿⢿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⢠⠃⠀⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠑⢄⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠒⣿⣿⢺⣿⣿⣿⣿⢿⣿⣿⣿⣿⣿⣿⣿⢿⢻⣿⣿⣿⣿⣿⣿⣿⢻⣿⢿⣿⢻⣿⣿⣿⣿⢿⣿⡗⣿⣿⠒│ │⠀⠀⠀⠀⠀⠀⠀⠀⢠⠃⠀⠀⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠈⢆⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⡿⠟⠸⢿⠁⢿⢻⠈⣿⢿⡿⠹⣿⣿⠏⢸⢸⢻⣿⢻⢿⣿⢹⣿⢸⣿⢸⢿⠀⢻⣿⡿⢻⢸⣿⡇⢿⡿⠀│ │⠀⠀⠀⠀⠀⠀⠀⢠⠃⠀⠀⠀⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠈⡆⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⡇⠀⠀⠸⠀⢸⠈⠀⠏⢸⡇⠀⡇⢻⠀⠘⠀⠘⡇⠈⠘⠁⠈⣿⢸⠹⢸⠘⠀⠘⠏⠀⠸⢸⡇⠁⢸⡇⠀│ │⠀⠀⠀⠀⠀⠀⣠⠃⠀⠀⠀⠀⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠈⢆⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⡇⠀⠀⠀⠀⢸⠀⠀⠀⢸⡇⠀⠃⠈⠀⠀⠀⠀⠀⠀⠀⠀⠀⠘⢸⠀⠸⠀⠀⠀⠀⠀⠀⢸⠁⠀⠘⠁⠀│ │⠀⠀⠀⠀⣀⠔⠁⠀⠀⠀⠀⠀⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠳⢤⣀⠀⠀⠀⠀⠀⠀│ -2.20176 │⠀⡇⠀⠀⠀⠀⠸⠀⠀⠀⠘⠃⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ -0.0112109 │⠤⠶⠶⠯⠥⠤⠤⠤⠤⠤⠤⠤⢼⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠭⠷⠦⠤⠤⠤│ └────────────────────────────────────────┘ └────────────────────────────────────────┘ ⠀-43.97⠀⠀⠀⠀⠀⠀⠀⠀⠀Iteration⠀⠀⠀⠀⠀⠀⠀⠀⠀1544.97⠀ ⠀-2.15981⠀⠀⠀⠀⠀Sample value⠀⠀⠀⠀⠀⠀⠀⠀4.72844⠀ ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀param_2⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀param_2⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ ┌────────────────────────────────────────┐ ┌────────────────────────────────────────┐ 5.66907 │⠀⡇⠀⠀⡆⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ 0.408394 │⠀⠀⠀⠀⠀⠀⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⡰⠲⡄⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⡇⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡄⠀⠀⠀⠀⡀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⢸⠀⠀⠀⠀⠀⠀⠀⠀⡜⠀⠀⠈⢦⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⡇⡆⡄⡇⢠⠀⠀⠀⠀⡀⡄⡇⠀⢸⢀⡇⠀⡇⠀⠀⠀⠀⠀⣄⡇⠀⠀⠀⡆⡇⠀⠀⢀⠀⠀⢀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⢸⠀⠀⠀⠀⠀⠀⠀⡸⠀⠀⠀⠀⠀⠑⢄⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⣇⡇⣧⡇⢸⠀⡆⠀⢀⣧⡇⣇⠀⣸⣾⡇⢠⡇⣰⢸⣀⣶⠀⣿⡇⣴⣧⢀⡇⡇⡇⠀⢸⠀⠀⣼⢸⡀⠀│ │⠀⠀⠀⠀⠀⠀⢸⠀⠀⠀⠀⠀⠀⢰⠁⠀⠀⠀⠀⠀⠀⠀⢱⡀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⣿⡇⣿⡇⢸⢠⣷⣿⣸⣿⣧⣿⢠⣿⣿⡇⣼⡇⣿⣿⣿⣿⣄⣿⡇⣿⣿⢸⣧⣧⣇⣤⢸⣿⡄⣿⣼⡇⠀│ │⠀⠀⠀⠀⠀⠀⢸⠀⠀⠀⠀⠀⢀⠇⠀⠀⠀⠀⠀⠀⠀⠀⠀⢣⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⣿⣿⣿⣧⢸⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⡇⣿⣷⣿⣿⣿⣿⣿⣿⡇⣿⣿⣸⣿⣿⣿⣿⣿⣿⣿⣿⣿⣷⠀│ │⠀⠀⠀⠀⠀⠀⢸⠀⠀⠀⠀⠀⡜⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠈⡆⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⠀│ │⠀⠀⠀⠀⠀⠀⢸⠀⠀⠀⠀⢠⠃⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠘⡄⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ Sample value │⠀⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⠀│ Density │⠀⠀⠀⠀⠀⠀⢸⠀⠀⠀⠀⡎⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢱⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⠀│ │⠀⠀⠀⠀⠀⠀⢸⠀⠀⠀⣸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢣⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⡿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⢻⣿⠀│ │⠀⠀⠀⠀⠀⠀⢸⠀⠀⢠⠃⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠈⡆⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⣿⣿⣿⣿⣿⢿⣿⣿⡏⣿⢻⣿⡏⣿⣿⢻⣿⣿⣿⡟⣿⡇⣿⣿⣿⢿⣿⣿⣿⣿⣿⡿⡏⣿⡿⣿⢸⣿⠀│ │⠀⠀⠀⠀⠀⠀⢸⠀⢀⠇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠸⡀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⣿⣿⡿⢿⣿⠘⢻⠿⠇⣿⢸⣿⡇⢹⢹⢸⣿⢸⡏⡇⣿⠃⡿⡇⣿⢸⡏⢹⣿⣿⢿⡇⠇⢹⠃⢸⠘⢹⠀│ │⠀⠀⠀⠀⠀⠀⢸⢀⠎⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠱⡀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠒⡗⠛⡗⢺⣿⠒⢺⠒⠒⠒⢺⢿⡗⠒⢺⢺⠒⠒⡗⠓⠓⠒⠓⡗⣿⠺⠗⢺⢺⣿⠚⠓⠒⠺⠒⢺⠒⠚⠒│ │⠀⠀⠀⠀⠀⠀⢸⠎⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠑⢄⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⡇⠀⡇⢸⢸⠀⠀⠀⠀⠀⠀⠀⠁⠀⠘⠘⠀⠀⡇⠀⠀⠀⠀⠀⠈⠀⠀⢸⠘⠘⠀⠀⠀⠀⠀⢸⠀⠀⠀│ │⠀⠀⠀⠀⣠⠴⢻⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠙⠢⢄⡀⠀⠀⠀⠀⠀│ -1.13707 │⠀⡇⠀⠁⠘⠈⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠁⠀⠀⠀⠀⠀⠀⠀⠀⠸⠀⠀⠀⠀⠀⠀⠀⠘⠀⠀⠀│ -0.0104675 │⠤⠶⠯⠭⠤⠤⢼⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠭⠷⠦⠤⠤⠤│ └────────────────────────────────────────┘ └────────────────────────────────────────┘ ⠀-43.97⠀⠀⠀⠀⠀⠀⠀⠀⠀Iteration⠀⠀⠀⠀⠀⠀⠀⠀⠀1544.97⠀ ⠀-1.10587⠀⠀⠀⠀⠀Sample value⠀⠀⠀⠀⠀⠀⠀⠀5.63787⠀ ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀param_3⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀param_3⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ ┌────────────────────────────────────────┐ ┌────────────────────────────────────────┐ 6.55969 │⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡆⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ 0.413161 │⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡴⠢⣄⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⣷⠀⠀⡀⡄⢠⡀⠀⠀⠀⠀⠀⠀⡄⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡜⠀⠀⠈⠱⡀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⡇⠀⢰⠀⠀⡀⠀⢀⠀⡄⢀⠀⢠⢰⠀⣿⠀⢀⡇⡇⣼⡇⡀⠀⠀⡄⠀⢰⡇⣰⠀⡇⠀⢠⠀⠀⡀⠀⠀│ │⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢰⠁⠀⠀⠀⠀⢳⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⡇⡇⢸⡇⠀⡇⠀⢸⡄⡇⣼⢠⣸⢸⣠⣿⠀⣾⣇⡇⣿⡇⡇⡆⠀⣿⢀⢸⡇⣿⣾⣿⡆⢸⢀⡄⣇⠀⠀│ │⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡴⠁⠀⠀⠀⠀⠀⠈⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⣧⡇⣼⣷⢰⣷⣾⣾⡇⣧⣿⣿⣿⣼⣿⣿⣆⣿⣿⣿⣿⣷⣿⣇⢠⣿⢸⢸⣿⣿⣿⣿⣧⣸⣾⣧⣿⡄⠀│ │⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡸⠀⠀⠀⠀⠀⠀⠀⠀⢱⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⣿⣿⣿⣿⣼⣿⣿⣿⣧⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣾⣿⣼⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣧⠀│ │⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢠⠃⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⠀│ │⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡎⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠸⡀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ Sample value │⠀⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⠀│ Density │⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⡸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢣⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⠀│ │⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⡜⠁⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠈⢆⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⠀│ │⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⡼⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠈⢦⡀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⣿⣿⡟⣿⡏⢻⣿⣿⡇⣿⣿⢹⣿⡿⣿⣿⣿⣿⣿⣿⣿⣿⣿⡟⣿⣿⣿⢹⡿⣿⣿⣿⡟⣿⢿⣿⣿⣿⠀│ │⠀⠀⡇⠀⠀⠀⠀⠀⠀⢰⠃⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠑⡄⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⣿⢸⠃⣿⠇⠘⣿⡇⠃⣿⢸⢸⣿⠃⣿⡟⡟⠿⣿⡿⢹⠇⡟⠁⣿⡟⠁⢸⡇⠁⢿⣿⡇⢻⠘⢸⣿⡇⠀│ │⠀⠀⡇⠀⠀⠀⠀⠀⢠⠃⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠱⡀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⡇⢸⠀⢹⠀⠀⠏⡇⠀⠘⢸⢸⡇⠀⢸⠃⠁⠀⠃⠇⠘⠀⡇⠀⠈⠁⠀⠘⡇⠀⠸⡟⡇⠸⠀⢸⡏⠃⠀│ │⠀⠀⡇⠀⠀⠀⠀⡠⠃⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠘⢄⡀⠀⠀⠀⠀⠀⠀⠀│ │⠀⡇⠸⠀⠸⠀⠀⠀⠇⠀⠀⢸⠘⡇⠀⠈⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⠀⠇⠀⠀⠀⠀⠀⠀⠘⠀⠀⠀│ │⠀⠀⡇⠀⣀⡠⠞⠁⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠉⠲⢄⡀⠀⠀⠀⠀│ -0.392045 │⠉⡏⠉⠉⠉⠉⠉⠉⠉⠉⠉⠙⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠏⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉│ -0.0103763 │⠤⠶⡷⠭⠥⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠬⠶⠦⠤⠤│ └────────────────────────────────────────┘ └────────────────────────────────────────┘ ⠀-43.97⠀⠀⠀⠀⠀⠀⠀⠀⠀Iteration⠀⠀⠀⠀⠀⠀⠀⠀⠀1544.97⠀ ⠀-0.356535⠀⠀⠀⠀Sample value⠀⠀⠀⠀⠀⠀⠀⠀6.52418⠀ ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀param_4⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀param_4⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ ┌────────────────────────────────────────┐ ┌────────────────────────────────────────┐ 2.03 │⠀⣷⣶⣶⣶⣶⣶⣶⣶⣶⣶⣶⣶⣶⣶⣶⣶⣶⣶⣶⣶⣶⣶⣶⣶⣶⣶⣶⣶⣶⣶⣶⣶⣶⣶⣶⣶⣶⣶⠀│ 775 │⠀⠀⡏⚬⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⚬⣀⠀⠀│ │⠀⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⠀│ │⠀⠀⡇⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⢸⠀⠀│ │⠀⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⠀│ │⠀⠀⡇⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⢸⠀⠀│ │⠀⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⠀│ │⠀⠀⡇⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⢸⠀⠀│ │⠀⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⠀│ │⠀⠀⡇⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⢸⠀⠀│ │⠀⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⠀│ │⠀⠀⡇⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⢸⠀⠀│ │⠀⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⠀│ │⠀⠀⡇⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⢸⠀⠀│ Sample value │⠀⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⠀│ Frequency │⠀⠀⡇⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⢸⠀⠀│ │⠀⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⠀│ │⠀⠀⡇⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⢸⠀⠀│ │⠀⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⠀│ │⠀⠀⡇⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⢸⠀⠀│ │⠀⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⠀│ │⠀⠀⡇⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⢸⠀⠀│ │⠀⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⠀│ │⠀⠀⡇⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⢸⠀⠀│ │⠀⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⠀│ │⠀⠀⡇⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⢸⠀⠀│ │⠀⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⠀│ │⠀⠀⡇⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⢸⠀⠀│ 0.97 │⠀⡿⠿⠿⠿⠿⠿⠿⠿⠿⠿⠿⠿⠿⠿⠿⠿⠿⠿⠿⠿⠿⠿⠿⠿⠿⠿⠿⠿⠿⠿⠿⠿⠿⠿⠿⠿⠿⠿⠀│ 0 │⠀⠀⣇⣸⚬⣀⚬⣀⚬⚬⣀⚬⣀⚬⚬⣀⚬⣀⚬⚬⣀⚬⣀⚬⣀⚬⚬⣀⚬⣀⚬⚬⣀⚬⣀⚬⣇⣸⠀⠀│ └────────────────────────────────────────┘ └────────────────────────────────────────┘ ⠀-43.97⠀⠀⠀⠀⠀⠀⠀⠀⠀Iteration⠀⠀⠀⠀⠀⠀⠀⠀⠀1544.97⠀ ⠀0.93511⠀⠀⠀⠀⠀⠀Sample value⠀⠀⠀⠀⠀⠀⠀⠀2.11489⠀ ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀param_1⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀param_1⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ ┌────────────────────────────────────────┐ ┌────────────────────────────────────────┐ 0.430407 │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢸⠀⠀⢀⡤⣤⢶⣄⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ 1.03259 │⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢸⠀⠀⡜⢰⢫⢫⠈⢇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢸⠀⢰⢁⢧⠃⠀⠣⣜⡆⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢸⠀⡇⡾⠃⠀⠀⠀⠀⢹⣆⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢸⢸⡼⠁⠀⠀⠀⠀⠀⠀⢿⡀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⣿⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢸⣷⠃⠀⠀⠀⠀⠀⠀⠀⠘⣧⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⣿⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢸⡏⠀⠀⠀⠀⠀⠀⠀⠀⠀⢹⡄⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⣿⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ Density │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢠⣿⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠈⣷⡀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ Autocorrelation │⠀⣿⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢀⡞⢹⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠱⣻⢆⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⣿⡀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⣰⡻⠀⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠣⣣⢣⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⡇⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⢠⡟⠀⠀⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠉⢳⢧⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⡇⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⠀⢠⠏⠀⠀⠀⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠘⡄⢳⡀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⡇⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⣠⠏⠀⠀⠀⠀⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠘⣄⠱⡄⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⡇⡇⠀⠀⢀⠜⡄⡠⠻⣠⣀⡀⡠⡀⠀⣤⠀⠀⠀⢀⠀⠀⠀⡰⢄⢠⠚⡄⠀⠀⡰⢲⢦⡔⠒⡆⠀⡜⠀│ │⠀⠀⠀⢀⣠⡾⠋⠀⠀⠀⠀⠀⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠘⠦⣝⣦⡀⠀⠀⠀⠀⠀⠀│ │⠒⡗⣷⣲⣖⡺⠖⢳⢓⢶⢿⠞⠻⡶⣷⡺⠛⣷⡶⢶⠚⢻⣷⣲⣓⣲⡳⢖⠞⠶⡶⠷⠓⠚⡗⡻⠚⣾⠞⠒│ -0.00938728 │⠤⠶⠶⠿⠯⠤⠤⠤⠤⠤⠤⠤⢼⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠬⠽⠶⠦⠤⠤⠤│ -0.118903 │⠀⡇⠘⠁⠀⠈⠢⠊⠉⠉⠀⠀⠀⠑⠁⠀⠀⠈⠉⠁⠑⠁⠀⠈⠒⠁⠀⠀⠀⠀⠀⠀⠀⠀⠈⠀⠀⠁⠀⠀│ └────────────────────────────────────────┘ └────────────────────────────────────────┘ ⠀-2.16608⠀⠀⠀⠀⠀Sample value⠀⠀⠀⠀⠀⠀⠀⠀4.73471⠀ ⠀-0.81⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀Lag⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀27.81⠀ ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀param_2⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀param_2⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ ┌────────────────────────────────────────┐ ┌────────────────────────────────────────┐ 0.430876 │⠀⠀⠀⠀⠀⠀⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⢀⠔⢢⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ 1.03303 │⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⢸⠀⠀⠀⠀⠀⠀⠀⠀⣠⢇⠖⠛⢷⡀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⢸⠀⠀⠀⠀⠀⠀⠀⣰⢏⠎⠱⡀⠀⠹⡒⢄⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⢸⠀⠀⠀⠀⠀⠀⢰⢏⠎⠀⠀⠑⣄⠀⢱⠀⢣⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⣇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⢸⠀⠀⠀⠀⠀⢀⡟⡜⠀⠀⠀⠀⠀⠉⠪⣆⠘⡆⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⣿⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⢸⠀⠀⠀⠀⠀⣼⣹⠀⠀⠀⠀⠀⠀⠀⠀⠙⣦⢹⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⣿⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⢸⠀⠀⠀⠀⢰⣏⠇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠈⢯⡆⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⣿⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ Density │⠀⠀⠀⠀⠀⠀⢸⠀⠀⠀⢀⢷⡏⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠘⣾⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ Autocorrelation │⠀⣿⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⢸⠀⠀⠀⣎⡟⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠘⣇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⡿⡆⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⢸⠀⠀⡜⡼⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠹⡆⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⡇⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⢸⠀⡰⡱⠁⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢻⡄⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⡇⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⢸⢠⡳⠁⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢻⡄⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⡇⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⣸⣷⠁⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠙⢦⡀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⡇⣇⢀⠀⠀⠀⢀⡤⣤⠀⠀⡤⣀⣀⡄⠀⢠⣀⠀⠀⠀⢀⡀⣀⣠⣳⣀⠀⡀⠀⢀⡀⠀⡠⣤⡆⠀⣀⠀│ │⠀⠀⠀⣀⣤⣾⣿⠃⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠈⠙⠦⣄⡀⠀⠀⠀⠀⠀│ │⠒⡗⢻⠛⠛⠻⣟⠿⠞⠚⢷⡾⠾⠶⠛⠻⣶⠛⠻⣛⠟⢟⡷⠛⢖⡞⠲⣳⢿⡾⠶⣷⣾⠟⣖⠟⠿⣿⡞⠒│ -0.00977269 │⠤⠾⠿⠿⠭⠥⢼⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠬⠽⠿⠦⠤⠤⠤│ -0.134064 │⠀⡇⠀⠑⠢⠜⠈⠀⠀⠀⠈⠀⠀⠀⠀⠀⠈⠀⠀⠀⠀⠀⠁⠀⠈⠀⠀⠈⠁⠀⠀⠀⠀⠀⠈⠀⠀⠋⠀⠀│ └────────────────────────────────────────┘ └────────────────────────────────────────┘ ⠀-1.1268⠀⠀⠀⠀⠀⠀Sample value⠀⠀⠀⠀⠀⠀⠀⠀5.63376⠀ ⠀-0.81⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀Lag⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀27.81⠀ ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀param_3⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀param_3⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ ┌────────────────────────────────────────┐ ┌────────────────────────────────────────┐ 0.414692 │⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢀⡴⢦⣤⢄⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ 1.03299 │⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡞⡠⠋⢫⢣⢇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡼⡜⠀⠀⠀⢣⢻⡄⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⣼⠋⠀⠀⠀⠀⠘⡄⣇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⣇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⣼⠇⠀⠀⠀⠀⠀⠀⠘⡼⡀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⣿⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⣸⡹⠀⠀⠀⠀⠀⠀⠀⠀⠸⣧⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⣿⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⢰⢧⠃⠀⠀⠀⠀⠀⠀⠀⠀⠀⢹⡄⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⣿⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ Density │⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⢀⠎⡜⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢣⡀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ Autocorrelation │⠀⣿⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⡜⡸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠈⢧⡀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⡏⡆⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⣸⠟⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠘⣗⡄⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⡇⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⡇⠀⠀⠀⠀⠀⢀⢼⠇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠘⢾⣄⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⡇⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⡇⠀⠀⠀⠀⢠⢊⡟⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢻⣆⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⡇⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⡇⠀⠀⠀⢠⢃⡾⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢫⣷⣄⠀⠀⠀⠀⠀⠀⠀│ │⠀⡇⣇⠔⡄⣀⡠⡀⠀⠀⢀⠤⢢⠀⠀⡀⠀⠀⠀⣀⣀⠤⠒⠢⣀⠀⠀⢀⣀⢄⡦⡀⠀⠀⣠⣀⡀⠀⠀⠀│ │⠀⠀⡇⢀⣀⣠⡷⠛⠁⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠙⠛⢷⣤⢄⡀⠀⠀⠀│ │⠒⡗⠚⠛⠻⣞⣛⣛⢿⡖⡻⢶⣒⣗⠺⠞⢲⡚⡶⡷⠾⠓⠒⡷⢞⢷⠒⢳⠓⠓⠛⠳⢶⢾⠛⠛⢞⣒⠖⠒│ -0.00790231 │⠤⠶⡯⠿⠯⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠭⠭⠶⠦⠤│ -0.13258 │⠀⡇⠀⠀⠀⠁⠀⠀⠀⠈⠀⠀⠋⠀⠑⠔⠁⠈⠀⠀⠀⠀⠀⠀⠀⠀⠋⠁⠀⠀⠀⠀⠀⠁⠀⠀⠀⠁⠀⠀│ └────────────────────────────────────────┘ └────────────────────────────────────────┘ ⠀-0.372442⠀⠀⠀⠀Sample value⠀⠀⠀⠀⠀⠀⠀⠀6.54008⠀ ⠀-0.81⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀Lag⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀27.81⠀ ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀param_4⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀param_4⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ ┌────────────────────────────────────────┐ ┌────────────────────────────────────────┐ 268 │⠀⠀⡯⚬⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ 1.03281 │⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⡏⚬⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⚬⢻⠀⠀│ │⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⡇⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⚬⢹⠀⠀│ │⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⡇⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⢸⠀⠀│ │⠀⣧⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⡇⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⢸⠀⠀│ │⠀⣿⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⡇⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⢸⠀⠀│ │⠀⣿⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⡇⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⢸⠀⠀│ │⠀⣿⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ Frequency │⠀⠀⡇⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⢸⠀⠀│ Autocorrelation │⠀⣿⡀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⡇⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⢸⠀⠀│ │⠀⡿⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⡇⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⢸⠀⠀│ │⠀⡇⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⡇⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⢸⠀⠀│ │⠀⡇⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⡇⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⢸⠀⠀│ │⠀⡇⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⡇⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⢸⠀⠀│ │⠀⡇⣿⢤⣠⠳⡀⠀⣠⣒⡲⡤⢄⠜⡄⠀⢀⣠⣰⣽⡤⡀⠀⠀⡠⠤⢄⠀⢠⢢⣀⣠⡊⠑⡴⡀⠀⣀⡀⠀│ │⠀⠀⡇⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⢸⠀⠀│ │⠒⡗⢻⠺⠻⡒⠾⠛⡗⠛⠲⡚⠚⢖⡷⡲⡷⣶⠟⠒⠓⠚⢳⣖⡷⢖⢻⠻⠛⠳⡻⠛⠳⡲⠛⠓⠾⠲⡓⠒│ 0 │⠀⠀⣇⣸⚬⣀⚬⣀⚬⚬⣀⚬⣀⚬⚬⣀⚬⣀⚬⚬⣀⚬⣀⚬⣀⚬⚬⣀⚬⣀⚬⚬⣀⚬⣀⚬⣇⣸⠀⠀│ -0.126566 │⠀⡇⠀⠀⠀⠉⠑⠉⠀⠀⠀⠘⠤⠒⠁⠁⠈⠀⠀⠀⠀⠀⠀⠋⠀⠀⠁⠀⠀⠀⠀⠀⠀⠁⠀⠀⠀⠀⠀⠀│ └────────────────────────────────────────┘ └────────────────────────────────────────┘ ⠀0.93511⠀⠀⠀⠀⠀⠀Sample value⠀⠀⠀⠀⠀⠀⠀⠀2.11489⠀ ⠀-0.81⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀Lag⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀27.81⠀ ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀Chain 1⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀Chain 1⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ ┌────────────────────────────────────────┐ ┌────────────────────────────────────────┐ 5.71189 │⠀⡇⠀⠀⠀⠀⠀⠀⢰⠀⡆⠀⠀⠀⠀⠀⢀⠀⠀⠀⠀⠀⠀⢀⡀⠀⠀⠀⣠⠀⠀⠀⢀⠀⠀⠀⠀⠀⢠⠀│ 1.62413 │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⡆⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⡇⠀⠀⢸⠀⠀⠀⢸⡄⣿⠀⠀⠀⠀⠀⣼⡄⠀⠀⠀⠀⠀⢸⣧⠀⠀⠀⣿⠀⠀⡄⢸⠀⢀⢠⡄⠀⣼⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⡇⠀⠀⠀⠀⡆⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⡇⠀⢰⢸⢀⠀⣇⣼⣷⣿⡀⡇⠀⣷⣦⣿⡇⣾⡀⣧⢰⢀⣼⣿⣧⠀⢰⣿⠀⢰⣿⣿⡇⢸⣿⣷⢸⣿⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⢸⠀⠀⠀⢰⠁⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⣇⡇⣿⣼⢸⢰⣿⣿⣿⣿⣧⣇⡄⣿⣿⣿⡇⣿⣧⣿⣸⣼⣿⣿⣿⡆⣸⣿⠀⣿⣿⣿⣧⢸⣿⣿⣾⣿⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⢸⠀⠀⠀⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣇⣿⣿⣿⣇⣿⣿⣿⣿⣿⣿⣿⣿⣧⣿⣿⣧⣿⣿⣿⣿⣿⣿⣿⣿⣿⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⢸⠀⠀⠀⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣏⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⢸⠀⠀⠀⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⢸⠀⠀⠀⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ Sample value │⠀⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⠀│ Density │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⢸⠀⠀⠀⡜⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⠀⡇⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⢹⣿⣿⢿⣿⣿⢿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⠀⡇⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⣀⣿⣿⣿⣟⣿⣿⣿⣻⣿⣏⣿⣿⣻⣟⣿⣸⣿⣿⣸⣿⣿⣸⣿⣿⣿⣿⣸⣿⣿⣿⣿⣿⣿⣹⣿⣿⣿⣿⣀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⢀⡇⠀⠀⡇⠀⠀⠀⠀⢀⡀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⣿⠻⡇⡇⡟⠇⡇⢸⠁⠃⣿⣿⠘⡇⢹⠈⣿⣿⠀⠘⡟⠈⠟⠻⡟⡇⢸⢸⡇⣿⡿⠏⡿⠘⡏⡟⣿⣿⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⢀⣠⠔⠚⣁⡿⠻⢍⡗⢤⣤⣴⡊⠁⠉⠓⢄⡀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⣿⠀⠁⠀⠀⠀⠃⠀⠀⠀⢸⠃⠀⠁⠀⠀⢻⡇⠀⠀⠃⠀⠀⠀⡇⠃⠈⠀⠀⣿⡇⠀⠀⠀⠁⠁⢿⠃⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⢀⣀⡷⠋⠀⣠⠖⠁⢇⠀⣸⠕⠯⣀⡀⠈⠑⠦⣄⠀⠉⠳⢄⡀⠀⠀⠀⠀⠀⠀⠀│ │⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢸⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⣿⡇⠀⠀⠀⠀⠀⠸⠀⠀│ │⠀⠀⠀⠀⠀⠀⢀⡴⠚⠉⠀⣇⡤⠊⠁⠀⢀⣼⠚⢹⠀⠀⠀⠉⠑⠦⣀⠀⠙⠦⣄⠀⠈⠑⠲⢄⡀⠀⠀⠀│ -2.22918 │⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠸⠁⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠏⠃⠀⠀⠀⠀⠀⠀⠀⠀│ -0.0453546 │⠤⠤⠤⠴⠶⠾⠵⠶⠶⠶⠽⡷⠶⠶⠶⠮⠭⠬⠦⠯⠤⠤⠤⠤⠤⠤⠤⠭⠶⠶⠶⠭⠵⠶⠶⠶⠬⠭⠶⠤│ └────────────────────────────────────────┘ └────────────────────────────────────────┘ ⠀-13.97⠀⠀⠀⠀⠀⠀⠀⠀⠀Iteration⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀514.97⠀ ⠀-2.19426⠀⠀⠀⠀⠀Sample value⠀⠀⠀⠀⠀⠀⠀⠀5.70209⠀ ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀Chain 2⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀Chain 2⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ ┌────────────────────────────────────────┐ ┌────────────────────────────────────────┐ 6.60471 │⠀⡇⠀⠀⠀⠀⠀⠀⢰⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ 1.6971 │⠀⠀⠀⠀⠀⠀⠀⠀⢸⠀⠀⠀⠀⢰⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⡇⠀⠀⠀⠀⠀⠀⣸⢠⡇⠀⠀⠀⠀⠀⠀⡄⠀⠀⢰⠀⠀⠀⠀⡆⢠⡀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⢸⠀⠀⠀⠀⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⡇⠀⢸⡇⠀⠀⠀⣿⢸⡇⠀⠀⠀⠀⣰⢠⡇⠀⠀⢸⠀⠀⢸⠀⡇⢸⡇⠀⡆⠀⠀⡀⠀⠀⡀⠀⠀⢸⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⢸⠀⠀⠀⠀⠘⡄⠀⠀⠀⡆⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⡇⠀⣸⡇⢰⢸⡇⣿⣾⣇⡄⠀⠀⡆⣿⣼⡇⣴⠀⢸⡇⡆⢸⣄⡇⢸⣧⡄⡇⢰⡀⣷⣆⠀⡇⠀⡀⢸⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⢸⠀⠀⠀⠀⠀⡇⠀⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⣷⣇⣿⣷⣸⣸⣇⣿⣿⣿⡇⠀⣇⡇⣿⣿⣇⣿⢰⣼⣇⣿⣿⣿⣧⣾⣿⡇⡇⣼⣷⣿⣿⣤⡇⢸⣿⣼⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⢸⠀⠀⠀⠀⠀⡇⠀⠀⢠⠃⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣷⣾⣿⣧⣿⣿⣿⣿⣼⣿⣿⣿⣿⣿⣿⣿⣿⣿⣧⣿⣿⣿⣿⣿⣷⣿⣿⣿⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⢸⠀⠀⠀⠀⠀⡇⠀⠀⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⢸⠀⠀⠀⠀⠀⡇⠀⠀⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ Sample value │⠀⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⠀│ Density │⠀⠀⠀⠀⠀⠀⠀⠀⢸⠀⠀⠀⠀⠀⡇⠀⠀⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⢸⠀⠀⠀⠀⠀⡇⠀⠀⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⢸⠀⠀⠀⠀⠀⢸⠀⠀⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⣿⣿⣿⣿⣿⣿⢿⣿⣿⣿⡟⡟⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⡟⣿⣿⣿⣿⣿⣿⣿⣿⡇⣿⡿⣿⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⢸⠀⠀⠀⠀⢀⢸⠀⠀⣎⡀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠤⣿⣿⢿⣿⡿⣿⢼⠥⣿⣿⠧⠥⣿⢽⢿⣿⢼⡧⣿⡿⣿⣿⣿⠽⣿⡧⣿⣿⡯⣿⢿⣿⣿⡯⠧⢽⠤⡿⠤│ │⠀⠀⠀⠀⠀⠀⠀⠀⢸⠀⢀⡤⠊⠉⢹⠷⢮⡏⠉⢓⣦⡒⠉⠉⠓⠦⡀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⣿⡟⠈⡿⠇⠙⠘⠀⢸⠃⠀⠀⢻⠘⠸⡟⢸⡇⡟⠃⢹⣿⠟⠀⡇⠃⣿⠉⠃⠀⢸⢻⢹⡇⠀⢸⠀⡇⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⣸⠔⠉⠀⢀⠔⢹⠀⠀⣗⣴⠋⠀⠈⠳⢤⡀⠀⠙⢦⡀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⡇⠃⠀⡇⠀⠀⠀⠀⠘⠀⠀⠀⠀⠀⠀⠁⠸⠃⠀⠀⠈⠁⠀⠀⠁⠀⠁⠀⠀⠀⠈⢸⢸⡇⠀⢸⠀⠁⠀│ │⠀⠀⠀⠀⢀⡠⠖⠋⢸⠀⣠⠔⠋⣀⡬⡖⢚⠏⠈⠑⠒⠤⢤⡀⠉⠢⣄⡀⠉⠒⠤⣀⠀⠀⠀⠀⠀⠀⠀⠀│ -1.938 │⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠈⠀⠀⠸⠀⠀⠀│ -0.0475492 │⠤⠶⠶⠮⠭⠤⠶⠶⢾⠯⠴⠶⠯⠥⠤⠷⠾⠤⠤⠤⠤⠤⠤⠬⠽⠶⠶⠬⠭⠷⠶⠾⠯⠶⠶⠶⠶⠦⠤⠤│ └────────────────────────────────────────┘ └────────────────────────────────────────┘ ⠀-13.97⠀⠀⠀⠀⠀⠀⠀⠀⠀Iteration⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀514.97⠀ ⠀-1.89955⠀⠀⠀⠀⠀Sample value⠀⠀⠀⠀⠀⠀⠀⠀6.58456⠀ ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀Chain 3⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀Chain 3⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ ┌────────────────────────────────────────┐ ┌────────────────────────────────────────┐ 6.06323 │⠀⡇⠀⠀⠀⠀⠀⠀⠀⡆⠀⠀⠀⠀⠀⠀⠀⠀⡀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ 1.57932 │⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⢲⠀⠀⠀⠀⡆⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⡇⢀⠀⠀⠀⠀⠀⣾⡇⣀⠀⠀⡄⢸⠀⠀⡄⡇⢀⡀⠀⡀⠀⠀⠀⣴⠀⠀⠀⠀⠀⠀⢠⠀⠀⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⢸⠀⠀⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⣧⣼⠀⠀⡄⠀⠀⣿⡇⣿⢀⢰⣿⣼⢸⠀⣷⡇⢸⡇⡄⡇⠀⠀⠀⣿⢀⠀⢰⢸⣄⠀⢸⠀⣦⠀⠀⠀⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⢸⠀⠀⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⣿⣿⠀⣆⡇⠀⣤⣿⡇⣿⢸⣸⣿⣿⣾⡆⣿⡇⣾⣿⣿⡇⡇⣷⢰⣿⣸⠀⣸⣸⣿⢸⣿⣠⣿⡆⣧⠀⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⢸⠀⠀⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⣿⣿⣼⣿⣿⣷⣿⣿⣇⣿⣾⣿⣿⣿⣿⣇⣿⣧⣿⣿⣿⣧⣧⣿⣾⣿⣿⣦⣿⣿⣿⣿⣿⣿⣿⣇⣿⡇⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⠈⡆⠀⠀⢠⠃⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣷⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⠀⡇⠀⠀⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⠀⡇⠀⠀⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ Sample value │⠀⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⠀│ Density │⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⠀⡇⠀⠀⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⠀⡇⠀⠀⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⠀⡇⠀⠀⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⣿⣿⣿⣿⣿⡟⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⡏⣿⣿⣿⣿⢻⣿⣿⡿⡿⣿⣿⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⣀⣀⡀⢣⠀⠀⣜⣀⡀⠀⠀⠀⢀⣀⣀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠒⣿⣿⡟⠿⣿⡗⡿⣿⠓⢻⣿⢻⡗⣿⣿⡟⡗⣿⣿⣿⢻⣿⣿⠟⢿⢿⡗⣿⣿⣿⠒⢺⢺⢻⡗⡗⣿⢻⠒│ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⡠⠊⠁⠀⠈⢻⡶⠺⣏⠀⣉⡽⠖⠺⣍⠀⠈⠳⡄⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⣿⣿⠀⠀⢿⠇⠇⣿⠀⠀⠁⠘⠀⢸⡿⠁⠀⡇⢹⠇⠀⠟⡿⠀⠀⢸⠇⣿⡇⣿⠀⢸⠸⢸⡇⠃⡿⠸⠀│ │⠀⠀⠀⠀⠀⠀⠀⠀⣠⡟⠁⠀⠀⢀⠔⢻⠀⢀⡿⠻⣅⠀⠀⠀⠈⠢⡀⠀⠈⠢⡀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │⠀⡏⠻⠀⠀⢸⠀⠀⠛⠀⠀⠀⠀⠀⠘⠇⠀⠀⠁⠈⠀⠀⠀⠃⠀⠀⢸⠀⡟⠀⠁⠀⠈⠀⠸⡇⠀⡇⠀⠀│ │⠀⠀⠀⠀⢀⡠⠔⠊⠁⡇⣀⡤⠚⠁⠀⣸⡜⢁⠇⠀⠀⠙⠢⣀⠀⠀⠉⠢⣄⡀⠈⠓⠦⢤⣀⡀⠀⠀⠀⠀│ -1.86122 │⠀⡇⠀⠀⠀⠘⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠸⠀⠁⠀⠀⠀⠀⠀⠀⠃⠀⠁⠀⠀│ -0.044031 │⠤⠶⠶⠯⠥⠤⠶⠶⠾⡯⠵⠶⠶⠶⠭⠥⠷⠼⠤⠤⠤⠤⠤⠬⠭⠶⠶⠶⠶⠭⠭⠷⠶⠦⠤⠬⠭⠶⠶⠤│ └────────────────────────────────────────┘ └────────────────────────────────────────┘ ⠀-13.97⠀⠀⠀⠀⠀⠀⠀⠀⠀Iteration⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀514.97⠀ ⠀-1.849⠀⠀⠀⠀⠀⠀⠀Sample value⠀⠀⠀⠀⠀⠀⠀⠀6.02805⠀ ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀param_2⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ ┌────────────────────────────────────────┐ 5.66907 │⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⡆⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ Chain 1 │⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⢀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡄⠀⠀⠀⠀│ Chain 2 │⠀⡇⠀⠀⣷⠀⢀⡄⠀⡇⣷⠀⢸⠀⣧⣀⠀⠀⠀⠀⠀⠀⠀⡀⠀⠀⠀⢀⠀⠀⠀⡄⡄⣀⢸⡇⠀⠀⠀⠀│ Chain 3 │⠀⡇⡆⡀⣿⡄⢸⣇⡀⡇⣿⠀⢸⡄⣿⣿⡇⢀⠀⣶⠀⠀⢸⣇⠀⢀⡆⢸⠀⠀⣤⣿⡇⣿⢸⡇⡇⡀⠀⠀│ │⠀⣷⣿⣧⣿⡇⢸⣿⣷⡇⣿⠀⣼⡇⣿⣿⡇⣼⡄⣿⣷⢸⣸⣿⡇⣿⡇⣸⣧⡄⣿⣿⣧⣿⣼⡇⡇⣧⢰⠀│ │⠀⣿⣿⣿⣿⣧⣿⣿⣿⣧⣿⣿⣿⡇⣿⣿⣷⣿⣧⣿⣿⣼⣿⣿⣷⣿⣧⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣾⠀│ │⠀⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⡇⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⠀│ Sample value │⠀⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⠀│ │⠀⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⠀│ │⠀⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⠀│ │⠀⡿⣿⣿⣿⣿⢿⣿⣿⢹⣿⣿⣿⣿⣿⡿⣿⣿⣿⡿⣿⣿⣿⣿⣿⣿⡏⣿⣿⣿⣿⢿⢹⡿⣿⣿⣿⣿⣿⠀│ │⠀⡇⣿⣿⢻⠙⢸⣿⣿⠸⣿⣿⡿⣿⣿⡇⢿⢹⣿⠁⢻⡟⠹⢹⣿⣿⡇⠃⡟⡏⡿⠀⢸⡇⢿⢸⢹⢿⢻⠀│ │⠒⡗⠟⠗⠚⠒⠚⣿⣿⠒⡗⡗⡗⣿⣿⡗⠚⠒⡟⠒⠚⡗⠒⠚⠒⠚⠗⠒⠒⠒⠓⠒⢺⡗⠺⢺⢺⢺⠚⠒│ │⠀⡇⠀⠀⠀⠀⠀⡟⢹⠀⠃⠃⡇⠀⡟⠀⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢸⠀⠀⠀⠈⠈⠀⠀│ -1.13707 │⠀⡇⠀⠀⠀⠀⠀⠁⠸⠀⠀⠀⠃⠀⠁⠀⠀⠀⠁⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠘⠀⠀⠀⠀⠀⠀⠀│ └────────────────────────────────────────┘ ⠀-13.97⠀⠀⠀⠀⠀⠀⠀⠀⠀Iteration⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀514.97⠀ ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀Chain 2⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ ┌────────────────────────────────────────┐ 6.60471 │⠀⡇⠀⠀⠀⠀⠀⠀⢰⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ param_1 │⠀⡇⠀⠀⠀⠀⠀⠀⣸⢠⡇⠀⠀⠀⠀⠀⠀⡄⠀⠀⢰⠀⠀⠀⠀⡆⢠⡀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ param_2 │⠀⡇⠀⢸⡇⠀⠀⠀⣿⢸⡇⠀⠀⠀⠀⣰⢠⡇⠀⠀⢸⠀⠀⢸⠀⡇⢸⡇⠀⡆⠀⠀⡀⠀⠀⡀⠀⠀⢸⠀│ param_3 │⠀⡇⠀⣸⡇⢰⢸⡇⣿⣾⣇⡄⠀⠀⡆⣿⣼⡇⣴⠀⢸⡇⡆⢸⣄⡇⢸⣧⡄⡇⢰⡀⣷⣆⠀⡇⠀⡀⢸⠀│ param_4 │⠀⣷⣇⣿⣷⣸⣸⣇⣿⣿⣿⡇⠀⣇⡇⣿⣿⣇⣿⢰⣼⣇⣿⣿⣿⣧⣾⣿⡇⡇⣼⣷⣿⣿⣤⡇⢸⣿⣼⠀│ │⠀⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣷⣾⣿⣧⣿⣿⣿⣿⣼⣿⣿⣿⣿⣿⣿⣿⣿⣿⣧⣿⣿⣿⣿⣿⣷⣿⣿⣿⠀│ │⠀⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⠀│ Sample value │⠀⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⠀│ │⠀⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⠀│ │⠀⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⠀│ │⠀⣿⣿⣿⣿⣿⣿⢿⣿⣿⣿⡟⡟⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⡟⣿⣿⣿⣿⣿⣿⣿⣿⡇⣿⡿⣿⠀│ │⠤⣿⣿⢿⣿⡿⣿⢼⠥⣿⣿⠧⠥⣿⢽⢿⣿⢼⡧⣿⡿⣿⣿⣿⠽⣿⡧⣿⣿⡯⣿⢿⣿⣿⡯⠧⢽⠤⡿⠤│ │⠀⣿⡟⠈⡿⠇⠙⠘⠀⢸⠃⠀⠀⢻⠘⠸⡟⢸⡇⡟⠃⢹⣿⠟⠀⡇⠃⣿⠉⠃⠀⢸⢻⢹⡇⠀⢸⠀⡇⠀│ │⠀⡇⠃⠀⡇⠀⠀⠀⠀⠘⠀⠀⠀⠀⠀⠀⠁⠸⠃⠀⠀⠈⠁⠀⠀⠁⠀⠁⠀⠀⠀⠈⢸⢸⡇⠀⢸⠀⠁⠀│ -1.938 │⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠈⠀⠀⠸⠀⠀⠀│ └────────────────────────────────────────┘ ⠀-13.97⠀⠀⠀⠀⠀⠀⠀⠀⠀Iteration⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀514.97⠀ 161.703322 seconds (66.43 M allocations: 3.497 GiB, 1.52% gc time, 81.14% compilation time: <1% of which was recompilation) Diagnostics ┌ Warning: Section mapping does not contain all parameter names, [:param_2, :param_3, :param_4] assigned to :parameters. └ @ MCMCChains ~/.julia/packages/MCMCChains/RIFg4/src/chains.jl:719 function tests: Error During Test at /home/pkgeval/.julia/packages/MCMCChains/RIFg4/test/diagnostic_tests.jl:167 Got exception outside of a @test MethodError: no method matching mapreduce_impl(::Statistics.var"#centralizedabs2fun##0#centralizedabs2fun##1"{Float64}, ::typeof(+), ::Array{Float64, 3}, ::Int64, ::Int64) The function `mapreduce_impl` exists, but no method is defined for this combination of argument types. Closest candidates are: mapreduce_impl(::Any, ::Any, ::Union{Base.AbstractBroadcasted, AbstractArray}, ::Any, ::Integer, !Matched::Integer, !Matched::Int64) @ Base reduce.jl:263 mapreduce_impl(::Any, ::Any, ::Union{Base.AbstractBroadcasted, AbstractArray}, ::Any, ::Integer, !Matched::Integer) @ Base reduce.jl:286 mapreduce_impl(::Any, !Matched::Union{typeof(max), typeof(min)}, ::Union{Base.AbstractBroadcasted, AbstractArray}, ::Any, ::Integer, !Matched::Integer) @ Base reduce.jl:649 ... Stacktrace: [1] centralize_sumabs2(A::Array{Float64, 3}, m::Float64, ifirst::Int64, ilast::Int64) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:257 [2] centralize_sumabs2!(R::Array{Float64, 3}, A::Array{Float64, 3}, means::Array{Float64, 3}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:275 [3] varm!(R::Array{Float64, 3}, A::Array{Float64, 3}, m::Array{Float64, 3}; corrected::Bool) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:309 [4] varm! @ ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:304 [inlined] [5] _varm @ ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:341 [inlined] [6] varm @ ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:339 [inlined] [7] _var @ ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:386 [inlined] [8] var @ ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:380 [inlined] [9] _std(A::Array{Float64, 3}, corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:469 [10] std @ ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:461 [inlined] [11] _mcse(::typeof(mean), samples::Array{Float64, 3}; kwargs::@Kwargs{split_chains::Int64}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/hc08m/src/mcse.jl:50 [12] _mcse @ ~/.julia/packages/MCMCDiagnosticTools/hc08m/src/mcse.jl:45 [inlined] [13] #mcse#53 @ ~/.julia/packages/MCMCDiagnosticTools/hc08m/src/mcse.jl:41 [inlined] [14] mcse @ ~/.julia/packages/MCMCDiagnosticTools/hc08m/src/mcse.jl:40 [inlined] [15] gewekediag(x::Vector{Float64}; first::Float64, last::Float64, kwargs::@Kwargs{}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/hc08m/src/gewekediag.jl:27 [16] gewekediag @ ~/.julia/packages/MCMCDiagnosticTools/hc08m/src/gewekediag.jl:19 [inlined] [17] #136 @ ~/.julia/packages/MCMCChains/RIFg4/src/gewekediag.jl:13 [inlined] [18] iterate @ ./generator.jl:48 [inlined] [19] _collect(c::Base.OneTo{Int64}, itr::Base.Generator{Base.OneTo{Int64}, MCMCChains.var"#136#137"{Int64, @Kwargs{}, Chains{Float64, AxisArrays.AxisArray{Float64, 3, Array{Float64, 3}, Tuple{AxisArrays.Axis{:iter, StepRange{Int64, Int64}}, AxisArrays.Axis{:var, Vector{Symbol}}, AxisArrays.Axis{:chain, UnitRange{Int64}}}}, Missing, @NamedTuple{parameters::Vector{Symbol}}, @NamedTuple{}}}}, ::Base.EltypeUnknown, isz::Base.HasShape{1}) @ Base ./array.jl:810 [20] collect_similar @ ./array.jl:732 [inlined] [21] map @ ./abstractarray.jl:3366 [inlined] [22] (::MCMCChains.var"#134#135"{@Kwargs{}, Array{Float64, 3}, Chains{Float64, AxisArrays.AxisArray{Float64, 3, Array{Float64, 3}, Tuple{AxisArrays.Axis{:iter, StepRange{Int64, Int64}}, AxisArrays.Axis{:var, Vector{Symbol}}, AxisArrays.Axis{:chain, UnitRange{Int64}}}}, Missing, @NamedTuple{parameters::Vector{Symbol}}, @NamedTuple{}}})(chain::Int64) @ MCMCChains ~/.julia/packages/MCMCChains/RIFg4/src/gewekediag.jl:12 [23] iterate @ ./generator.jl:48 [inlined] [24] _collect(c::Base.OneTo{Int64}, itr::Base.Generator{Base.OneTo{Int64}, MCMCChains.var"#134#135"{@Kwargs{}, Array{Float64, 3}, Chains{Float64, AxisArrays.AxisArray{Float64, 3, Array{Float64, 3}, Tuple{AxisArrays.Axis{:iter, StepRange{Int64, Int64}}, AxisArrays.Axis{:var, Vector{Symbol}}, AxisArrays.Axis{:chain, UnitRange{Int64}}}}, Missing, @NamedTuple{parameters::Vector{Symbol}}, @NamedTuple{}}}}, ::Base.EltypeUnknown, isz::Base.HasShape{1}) @ Base ./array.jl:810 [25] collect_similar(cont::Base.OneTo{Int64}, itr::Base.Generator{Base.OneTo{Int64}, MCMCChains.var"#134#135"{@Kwargs{}, Array{Float64, 3}, Chains{Float64, AxisArrays.AxisArray{Float64, 3, Array{Float64, 3}, Tuple{AxisArrays.Axis{:iter, StepRange{Int64, Int64}}, AxisArrays.Axis{:var, Vector{Symbol}}, AxisArrays.Axis{:chain, UnitRange{Int64}}}}, Missing, @NamedTuple{parameters::Vector{Symbol}}, @NamedTuple{}}}}) @ Base ./array.jl:732 [26] map(f::Function, A::Base.OneTo{Int64}) @ Base ./abstractarray.jl:3366 [27] gewekediag(chains::Chains{Float64, AxisArrays.AxisArray{Float64, 3, Array{Float64, 3}, Tuple{AxisArrays.Axis{:iter, StepRange{Int64, Int64}}, AxisArrays.Axis{:var, Vector{Symbol}}, AxisArrays.Axis{:chain, UnitRange{Int64}}}}, Missing, @NamedTuple{parameters::Vector{Symbol}, internals::Vector{Symbol}}, @NamedTuple{}}; sections::Symbol, kwargs::@Kwargs{}) @ MCMCChains ~/.julia/packages/MCMCChains/RIFg4/src/gewekediag.jl:11 [28] gewekediag(chains::Chains{Float64, AxisArrays.AxisArray{Float64, 3, Array{Float64, 3}, Tuple{AxisArrays.Axis{:iter, StepRange{Int64, Int64}}, AxisArrays.Axis{:var, Vector{Symbol}}, AxisArrays.Axis{:chain, UnitRange{Int64}}}}, Missing, @NamedTuple{parameters::Vector{Symbol}, internals::Vector{Symbol}}, @NamedTuple{}}) @ MCMCChains ~/.julia/packages/MCMCChains/RIFg4/src/gewekediag.jl:1 [29] top-level scope @ ~/.julia/packages/MCMCChains/RIFg4/test/diagnostic_tests.jl:168 [30] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1835 [inlined] [31] macro expansion @ ~/.julia/packages/MCMCChains/RIFg4/test/diagnostic_tests.jl:174 [inlined] [32] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:304 [33] macro expansion @ ./timing.jl:645 [inlined] [34] macro expansion @ ~/.julia/packages/MCMCChains/RIFg4/test/runtests.jl:29 [inlined] [35] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1835 [inlined] [36] top-level scope @ ~/.julia/packages/MCMCChains/RIFg4/test/runtests.jl:12 [37] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:304 [38] top-level scope @ none:6 [39] eval(m::Module, e::Any) @ Core ./boot.jl:489 [40] exec_options(opts::Base.JLOptions) @ Base ./client.jl:297 [41] _start() @ Base ./client.jl:563 88.724508 seconds (45.81 M allocations: 2.652 GiB, 1.19% gc time, 98.42% compilation time: 3% of which was recompilation) Missing values diagnostic functions: Error During Test at /home/pkgeval/.julia/packages/MCMCChains/RIFg4/test/missing_tests.jl:18 Got exception outside of a @test MethodError: no method matching mapreduce_impl(::Statistics.var"#centralizedabs2fun##0#centralizedabs2fun##1"{Float64}, ::typeof(+), ::Array{Float64, 3}, ::Int64, ::Int64) The function `mapreduce_impl` exists, but no method is defined for this combination of argument types. Closest candidates are: mapreduce_impl(::Any, ::Any, ::Union{Base.AbstractBroadcasted, AbstractArray}, ::Any, ::Integer, !Matched::Integer, !Matched::Int64) @ Base reduce.jl:263 mapreduce_impl(::Any, ::Any, ::Union{Base.AbstractBroadcasted, AbstractArray}, ::Any, ::Integer, !Matched::Integer) @ Base reduce.jl:286 mapreduce_impl(::Any, !Matched::Union{typeof(max), typeof(min)}, ::Union{Base.AbstractBroadcasted, AbstractArray}, ::Any, ::Integer, !Matched::Integer) @ Base reduce.jl:649 ... Stacktrace: [1] centralize_sumabs2(A::Array{Float64, 3}, m::Float64, ifirst::Int64, ilast::Int64) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:257 [2] centralize_sumabs2!(R::Array{Float64, 3}, A::Array{Float64, 3}, means::Array{Float64, 3}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:275 [3] varm!(R::Array{Float64, 3}, A::Array{Float64, 3}, m::Array{Float64, 3}; corrected::Bool) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:309 [4] varm! @ ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:304 [inlined] [5] _varm @ ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:341 [inlined] [6] varm @ ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:339 [inlined] [7] _var @ ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:386 [inlined] [8] var @ ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:380 [inlined] [9] _std(A::Array{Float64, 3}, corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:469 [10] std @ ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:461 [inlined] [11] _mcse(::typeof(mean), samples::Array{Float64, 3}; kwargs::@Kwargs{split_chains::Int64}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/hc08m/src/mcse.jl:50 [12] _mcse @ ~/.julia/packages/MCMCDiagnosticTools/hc08m/src/mcse.jl:45 [inlined] [13] #mcse#53 @ ~/.julia/packages/MCMCDiagnosticTools/hc08m/src/mcse.jl:41 [inlined] [14] mcse @ ~/.julia/packages/MCMCDiagnosticTools/hc08m/src/mcse.jl:40 [inlined] [15] gewekediag(x::Vector{Float64}; first::Float64, last::Float64, kwargs::@Kwargs{}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/hc08m/src/gewekediag.jl:27 [16] gewekediag @ ~/.julia/packages/MCMCDiagnosticTools/hc08m/src/gewekediag.jl:19 [inlined] [17] #136 @ ~/.julia/packages/MCMCChains/RIFg4/src/gewekediag.jl:13 [inlined] [18] iterate @ ./generator.jl:48 [inlined] [19] _collect(c::Base.OneTo{Int64}, itr::Base.Generator{Base.OneTo{Int64}, MCMCChains.var"#136#137"{Int64, @Kwargs{}, Chains{Float64, AxisArrays.AxisArray{Float64, 3, Array{Float64, 3}, Tuple{AxisArrays.Axis{:iter, StepRange{Int64, Int64}}, AxisArrays.Axis{:var, Vector{Symbol}}, AxisArrays.Axis{:chain, UnitRange{Int64}}}}, Missing, @NamedTuple{parameters::Vector{Symbol}}, @NamedTuple{}}}}, ::Base.EltypeUnknown, isz::Base.HasShape{1}) @ Base ./array.jl:810 [20] collect_similar @ ./array.jl:732 [inlined] [21] map @ ./abstractarray.jl:3366 [inlined] [22] (::MCMCChains.var"#134#135"{@Kwargs{}, Array{Float64, 3}, Chains{Float64, AxisArrays.AxisArray{Float64, 3, Array{Float64, 3}, Tuple{AxisArrays.Axis{:iter, StepRange{Int64, Int64}}, AxisArrays.Axis{:var, Vector{Symbol}}, AxisArrays.Axis{:chain, UnitRange{Int64}}}}, Missing, @NamedTuple{parameters::Vector{Symbol}}, @NamedTuple{}}})(chain::Int64) @ MCMCChains ~/.julia/packages/MCMCChains/RIFg4/src/gewekediag.jl:12 [23] iterate @ ./generator.jl:48 [inlined] [24] _collect(c::Base.OneTo{Int64}, itr::Base.Generator{Base.OneTo{Int64}, MCMCChains.var"#134#135"{@Kwargs{}, Array{Float64, 3}, Chains{Float64, AxisArrays.AxisArray{Float64, 3, Array{Float64, 3}, Tuple{AxisArrays.Axis{:iter, StepRange{Int64, Int64}}, AxisArrays.Axis{:var, Vector{Symbol}}, AxisArrays.Axis{:chain, UnitRange{Int64}}}}, Missing, @NamedTuple{parameters::Vector{Symbol}}, @NamedTuple{}}}}, ::Base.EltypeUnknown, isz::Base.HasShape{1}) @ Base ./array.jl:810 [25] collect_similar(cont::Base.OneTo{Int64}, itr::Base.Generator{Base.OneTo{Int64}, MCMCChains.var"#134#135"{@Kwargs{}, Array{Float64, 3}, Chains{Float64, AxisArrays.AxisArray{Float64, 3, Array{Float64, 3}, Tuple{AxisArrays.Axis{:iter, StepRange{Int64, Int64}}, AxisArrays.Axis{:var, Vector{Symbol}}, AxisArrays.Axis{:chain, UnitRange{Int64}}}}, Missing, @NamedTuple{parameters::Vector{Symbol}}, @NamedTuple{}}}}) @ Base ./array.jl:732 [26] map(f::Function, A::Base.OneTo{Int64}) @ Base ./abstractarray.jl:3366 [27] gewekediag(chains::Chains{Float64, AxisArrays.AxisArray{Float64, 3, Array{Float64, 3}, Tuple{AxisArrays.Axis{:iter, StepRange{Int64, Int64}}, AxisArrays.Axis{:var, Vector{Symbol}}, AxisArrays.Axis{:chain, UnitRange{Int64}}}}, Missing, @NamedTuple{parameters::Vector{Symbol}}, @NamedTuple{}}; sections::Symbol, kwargs::@Kwargs{}) @ MCMCChains ~/.julia/packages/MCMCChains/RIFg4/src/gewekediag.jl:11 [28] gewekediag(chains::Chains{Float64, AxisArrays.AxisArray{Float64, 3, Array{Float64, 3}, Tuple{AxisArrays.Axis{:iter, StepRange{Int64, Int64}}, AxisArrays.Axis{:var, Vector{Symbol}}, AxisArrays.Axis{:chain, UnitRange{Int64}}}}, Missing, @NamedTuple{parameters::Vector{Symbol}}, @NamedTuple{}}) @ MCMCChains ~/.julia/packages/MCMCChains/RIFg4/src/gewekediag.jl:1 [29] macro expansion @ ~/.julia/packages/MCMCChains/RIFg4/test/missing_tests.jl:30 [inlined] [30] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1835 [inlined] [31] top-level scope @ ~/.julia/packages/MCMCChains/RIFg4/test/missing_tests.jl:19 [32] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:304 [33] macro expansion @ ./timing.jl:645 [inlined] [34] macro expansion @ ~/.julia/packages/MCMCChains/RIFg4/test/runtests.jl:33 [inlined] [35] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1835 [inlined] [36] top-level scope @ ~/.julia/packages/MCMCChains/RIFg4/test/runtests.jl:12 [37] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:304 [38] top-level scope @ none:6 [39] eval(m::Module, e::Any) @ Core ./boot.jl:489 [40] exec_options(opts::Base.JLOptions) @ Base ./client.jl:297 [41] _start() @ Base ./client.jl:563 3.768605 seconds (2.21 M allocations: 124.127 MiB, 2.22% gc time, 78.05% compilation time) Sections 10.364898 seconds (4.58 M allocations: 258.325 MiB, 0.81% gc time, 98.89% compilation time: 36% of which was recompilation) Accessing parameters ┌ Warning: `MvNormal(μ::AbstractVector{<:Real}, σ::Real)` is deprecated, use `MvNormal(μ, σ ^ 2 * I)` instead. │ caller = ip:0x0 └ @ Core :-1 5.397158 seconds (1.26 M allocations: 67.833 MiB, 84.27% compilation time: <1% of which was recompilation) Serialization 3.453973 seconds (1.93 M allocations: 101.191 MiB, 99.02% compilation time) Sampling 7.885352 seconds (3.41 M allocations: 186.515 MiB, 1.06% gc time, 99.30% compilation time) Array 13.477867 seconds (6.76 M allocations: 373.122 MiB, 0.74% gc time, 98.38% compilation time: <1% of which was recompilation) Summary compact display: (2 x 8) verbose display: parameters mean std mcse ess_bulk ess_tail rhat ess_per_sec Symbol Float64 Float64 Float64 Float64 Float64 Float64 Missing a 0.4974 0.2900 0.0046 3959.0580 3694.7112 0.9995 missing b 0.4956 0.2925 0.0045 4150.2818 3771.8912 1.0002 missing 15.107313 seconds (6.98 M allocations: 397.593 MiB, 1.29% gc time, 98.19% compilation time) Model statistics 4.722578 seconds (1.91 M allocations: 99.924 MiB, 99.23% compilation time) Concatenation 5.828000 seconds (3.80 M allocations: 200.696 MiB, 1.73% gc time, 96.49% compilation time: <1% of which was recompilation) Rstar 67.805230 seconds (38.97 M allocations: 2.033 GiB, 3.42% gc time, 85.92% compilation time: 14% of which was recompilation) ┌ Warning: Unable to determine HTML(edit_link = ...) from remote HEAD branch, defaulting to "master". │ Calling `git remote` failed with an exception. Set JULIA_DEBUG=Documenter to see the error. │ Unless this is due to a configuration error, the relevant variable should be set explicitly. └ @ Documenter ~/.julia/packages/Documenter/ZlqFj/src/utilities/utilities.jl:660 Test Summary: | Pass Error Total Time MCMCChains | 36484 2 36486 13m15.0s ESS per second | 6 6 31.0s ess/rhat/ess_rhat (chains) | 36 36 2m21.8s ESS and R̂ (single sample) | 16 16 2.2s mcse | 5 5 54.1s Tables interface tests | 36086 36086 42.1s Plotting tests | 0 1m53.5s basic chains functions | 41 41 4.5s Chain times | 13 13 0.5s indexing tests | 42 42 2.9s names and groups tests | 23 23 1.2s function tests | 1 1 2 1m04.2s stats tests | 23 23 7.3s vector of vectors | 2 2 0.9s sorting | 2 2 2.9s utils | 1 1 0.1s diagnostic functions | 1 1 2 3.0s order of parameters | 2 2 4.9s describe sections | 1 1 5.5s get tests | 8 8 5.4s serialization read and write test | 1 1 3.4s sampling api | 22 22 6.9s Array constructor tests | 36 36 13.3s Summarize to DataFrame tests | 28 28 14.5s deviance information criterion | 2 2 1.9s merge_union | 1 1 0.6s concatenation tests | 15 15 2.5s vcat | 31 31 1.3s hcat | 15 15 0.9s chainscat | 14 14 0.4s R star test | 3 3 51.1s Doctests: MCMCChains | 1 1 1m49.8s RNG of the outermost testset: Xoshiro(0xdb2fa90498613fdf, 0x48d73dc42d195740, 0x8c49bc52dc8a77ea, 0x1911b814c02405e8, 0x22a21880af5dc689) ERROR: LoadError: Some tests did not pass: 36484 passed, 0 failed, 2 errored, 0 broken. in expression starting at /home/pkgeval/.julia/packages/MCMCChains/RIFg4/test/runtests.jl:10 Testing failed after 826.03s ERROR: LoadError: Package MCMCChains errored during testing Stacktrace: [1] pkgerror(msg::String) @ Pkg.Types /opt/julia/share/julia/stdlib/v1.13/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/v1.13/Pkg/src/Operations.jl:2414 [3] test @ /opt/julia/share/julia/stdlib/v1.13/Pkg/src/Operations.jl:2269 [inlined] [4] 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/v1.13/Pkg/src/API.jl:486 [5] test(pkgs::Vector{PackageSpec}; io::IOContext{IO}, kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.13/Pkg/src/API.jl:164 [6] test(pkgs::Vector{String}; kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.13/Pkg/src/API.jl:152 [7] test @ /opt/julia/share/julia/stdlib/v1.13/Pkg/src/API.jl:152 [inlined] [8] #test#81 @ /opt/julia/share/julia/stdlib/v1.13/Pkg/src/API.jl:151 [inlined] [9] top-level scope @ /PkgEval.jl/scripts/evaluate.jl:219 [10] include(mod::Module, _path::String) @ Base ./Base.jl:303 [11] exec_options(opts::Base.JLOptions) @ Base ./client.jl:331 [12] _start() @ Base ./client.jl:563 in expression starting at /PkgEval.jl/scripts/evaluate.jl:210 PkgEval failed after 2445.47s: package tests unexpectedly errored