Package evaluation to test Copulas on Julia 1.14.0-DEV.2360 (7c0e770819*) started at 2026-06-13T20:19:55.631 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Activating project at `~/.julia/environments/v1.14` Set-up completed after 15.0s ################################################################################ # Installation # Installing Copulas... Resolving package versions... Updating `~/.julia/environments/v1.14/Project.toml` [ae264745] + Copulas v0.1.35 Updating `~/.julia/environments/v1.14/Manifest.toml` [47edcb42] + ADTypes v1.22.0 [7d9f7c33] + Accessors v0.1.44 [79e6a3ab] + Adapt v4.6.1 [66dad0bd] + AliasTables v1.1.3 [4fba245c] + ArrayInterface v7.25.0 [08986516] + Collects v1.1.0 [861a8166] + Combinatorics v1.1.0 [38540f10] + CommonSolve v0.2.7 [bbf7d656] + CommonSubexpressions v0.3.1 [a33af91c] + CompositionsBase v0.1.2 [187b0558] + ConstructionBase v1.6.0 [ae264745] + Copulas v0.1.35 [9a962f9c] + DataAPI v1.16.0 [864edb3b] + DataStructures v0.19.5 [163ba53b] + DiffResults v1.1.0 [b552c78f] + DiffRules v1.16.0 [a0c0ee7d] + DifferentiationInterface v0.7.18 [31c24e10] + Distributions v0.25.126 [ffbed154] + DocStringExtensions v0.9.5 [4e289a0a] + EnumX v1.0.7 [1a297f60] + FillArrays v1.16.0 [6a86dc24] + FiniteDiff v2.31.0 [3821ddf9] + FixedSizeArrays v1.3.0 [f6369f11] + ForwardDiff v1.4.1 [19dc6840] + HCubature v1.8.0 [34004b35] + HypergeometricFunctions v0.3.28 [18e54dd8] + IntegerMathUtils v0.1.3 [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 v0.3.29 [1914dd2f] + MacroTools v0.5.16 [e1d29d7a] + Missings v1.2.0 [37188c8d] + MvNormalCDF v0.3.2 [d41bc354] + NLSolversBase v8.0.0 [77ba4419] + NaNMath v1.1.4 [429524aa] + Optim v2.1.0 ⌅ [bac558e1] + OrderedCollections v1.8.2 [90014a1f] + PDMats v0.11.37 [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 v3.0.0 [efcf1570] + Setfield v1.1.2 [a2af1166] + SortingAlgorithms v1.2.2 [276daf66] + SpecialFunctions v2.8.0 [90137ffa] + StaticArrays v1.9.18 [1e83bf80] + StaticArraysCore v1.4.4 [10745b16] + Statistics v1.11.1 [82ae8749] + StatsAPI v1.8.0 [2913bbd2] + StatsBase v0.34.11 ⌅ [4c63d2b9] + StatsFuns v1.5.2 [6aa5eb33] + TaylorSeries v0.22.0 [efe28fd5] + OpenSpecFun_jll v0.5.6+0 [f50d1b31] + Rmath_jll v0.5.1+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 v1.5.2+0 [4536629a] + OpenBLAS_jll v0.3.33+0 [05823500] + OpenLibm_jll v0.8.7+0 [bea87d4a] + SuiteSparse_jll v7.10.1+0 [8e850b90] + libblastrampoline_jll v5.15.0+0 Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading. To see why use `status --outdated -m` Installation completed after 5.8s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompiling project... 1.3 s ✓ PolyLog → PolyLogForwardDiffExt 4.0 s ✓ MvNormalCDF 10.8 s ✓ Copulas 3 dependencies successfully precompiled in 17 seconds. 135 already precompiled. Precompilation completed after 45.15s ################################################################################ # Testing # Testing Copulas Status `/tmp/jl_iZfRpq/Project.toml` [47edcb42] ADTypes v1.22.0 [4c88cf16] Aqua v0.8.16 [861a8166] Combinatorics v1.1.0 [ae264745] Copulas v0.1.35 [31c24e10] Distributions v0.25.126 [f6369f11] ForwardDiff v1.4.1 [19dc6840] HCubature v1.8.0 [09f84164] HypothesisTests v0.11.8 [984bce1d] LambertW v1.0.0 ⌅ [2ab3a3ac] LogExpFunctions v0.3.29 [37188c8d] MvNormalCDF v0.3.2 [429524aa] Optim v2.1.0 [85e3b03c] PolyLog v2.6.2 [1fd47b50] QuadGK v2.11.3 [f2b01f46] Roots v3.0.0 [276daf66] SpecialFunctions v2.8.0 [860ef19b] StableRNGs v1.0.4 [10745b16] Statistics v1.11.1 [2913bbd2] StatsBase v0.34.11 ⌅ [4c63d2b9] StatsFuns v1.5.2 [6aa5eb33] TaylorSeries v0.22.0 [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_iZfRpq/Manifest.toml` [47edcb42] ADTypes v1.22.0 [7d9f7c33] Accessors v0.1.44 [79e6a3ab] Adapt v4.6.1 [66dad0bd] AliasTables v1.1.3 [4c88cf16] Aqua v0.8.16 [4fba245c] ArrayInterface v7.25.0 [08986516] Collects v1.1.0 [861a8166] Combinatorics v1.1.0 [38540f10] CommonSolve v0.2.7 [bbf7d656] CommonSubexpressions v0.3.1 [34da2185] Compat v4.18.1 [a33af91c] CompositionsBase v0.1.2 [187b0558] ConstructionBase v1.6.0 [ae264745] Copulas v0.1.35 [9a962f9c] DataAPI v1.16.0 [864edb3b] DataStructures v0.19.5 [163ba53b] DiffResults v1.1.0 [b552c78f] DiffRules v1.16.0 [a0c0ee7d] DifferentiationInterface v0.7.18 [31c24e10] Distributions v0.25.126 [ffbed154] DocStringExtensions v0.9.5 [4e289a0a] EnumX v1.0.7 [1a297f60] FillArrays v1.16.0 [6a86dc24] FiniteDiff v2.31.0 [3821ddf9] FixedSizeArrays v1.3.0 [f6369f11] ForwardDiff v1.4.1 [19dc6840] HCubature v1.8.0 [34004b35] HypergeometricFunctions v0.3.28 [09f84164] HypothesisTests v0.11.8 [18e54dd8] IntegerMathUtils v0.1.3 [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 v0.3.29 [1914dd2f] MacroTools v0.5.16 [e1d29d7a] Missings v1.2.0 [37188c8d] MvNormalCDF v0.3.2 [d41bc354] NLSolversBase v8.0.0 [77ba4419] NaNMath v1.1.4 [429524aa] Optim v2.1.0 ⌅ [bac558e1] OrderedCollections v1.8.2 [90014a1f] PDMats v0.11.37 [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 v3.0.0 [efcf1570] Setfield v1.1.2 [a2af1166] SortingAlgorithms v1.2.2 [276daf66] SpecialFunctions v2.8.0 [860ef19b] StableRNGs v1.0.4 [90137ffa] StaticArrays v1.9.18 [1e83bf80] StaticArraysCore v1.4.4 [10745b16] Statistics v1.11.1 [82ae8749] StatsAPI v1.8.0 [2913bbd2] StatsBase v0.34.11 ⌅ [4c63d2b9] StatsFuns v1.5.2 [6aa5eb33] TaylorSeries v0.22.0 [efe28fd5] OpenSpecFun_jll v0.5.6+0 [f50d1b31] Rmath_jll v0.5.1+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 [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 v1.5.2+0 [deac9b47] LibCURL_jll v8.20.0+1 [e37daf67] LibGit2_jll v1.9.4+0 [29816b5a] LibSSH2_jll v1.11.101+0 [14a3606d] MozillaCACerts_jll v2026.5.14 [4536629a] OpenBLAS_jll v0.3.33+0 [05823500] OpenLibm_jll v0.8.7+0 [458c3c95] OpenSSL_jll v3.5.7+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 v1.69.0+0 [3f19e933] p7zip_jll v17.8.0+0 Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading. Testing Running tests... [ Info: Launching test file Aqua.jl [ Info: Launching test file ArchimedeanCopulas.jl ┌ Warning: `cdf(d::UnivariateDistribution, X::AbstractArray{<:Real})` is deprecated, use `map(Base.Fix1(cdf, d), X)` instead. │ caller = top-level scope at ArchimedeanCopulas.jl:194 └ @ Core ~/.julia/packages/Copulas/fbhfl/test/ArchimedeanCopulas.jl:194 [ Info: Launching test file ConditionalDistribution.jl [ Info: Launching test file EllipticalCopulas.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 SklarDist.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, Copulas.ClaytonGenerator{Float64}, Copulas.AsymGalambosTail{Float64}}(gen_θ = 1.5, tail_α = 0.35, tail_θ₁ = 0.65, tail_θ₂ = 0.3)... [ Info: Testing BB4Copula{Float64}(gen_θ = 1.5, tail_θ = 0.7)... [ Info: Testing BB4Copula{Float64}(gen_θ = 1.5, tail_θ = 2.5)... [ Info: Testing ArchimaxCopula{2, Copulas.ClaytonGenerator{Float64}, Copulas.HuslerReissTail{Float64}}(gen_θ = 1.5, tail_θ = 0.6)... [ Info: Testing ArchimaxCopula{2, Copulas.ClaytonGenerator{Float64}, Copulas.HuslerReissTail{Float64}}(gen_θ = 1.5, tail_θ = 1.8)... [ Info: Testing ArchimaxCopula{2, Copulas.ClaytonGenerator{Float64}, Copulas.LogTail{Float64}}(gen_θ = 1.5, tail_θ = 1.5)... [ Info: Testing ArchimaxCopula{2, Copulas.ClaytonGenerator{Float64}, Copulas.LogTail{Float64}}(gen_θ = 1.5, tail_θ = 2.0)... [ Info: Testing ArchimaxCopula{2, Copulas.ClaytonGenerator{Float64}, Copulas.AsymGalambosTail{Float64}}(gen_θ = 3.0, tail_α = 0.35, tail_θ₁ = 0.65, tail_θ₂ = 0.3)... [ Info: Testing BB4Copula{Float64}(gen_θ = 3.0, tail_θ = 0.7)... [ Info: Testing BB4Copula{Float64}(gen_θ = 3.0, tail_θ = 2.5)... [ Info: Testing ArchimaxCopula{2, Copulas.ClaytonGenerator{Float64}, Copulas.HuslerReissTail{Float64}}(gen_θ = 3.0, tail_θ = 0.6)... [ Info: Testing ArchimaxCopula{2, Copulas.ClaytonGenerator{Float64}, Copulas.HuslerReissTail{Float64}}(gen_θ = 3.0, tail_θ = 1.8)... [ Info: Testing ArchimaxCopula{2, Copulas.ClaytonGenerator{Float64}, Copulas.LogTail{Float64}}(gen_θ = 3.0, tail_θ = 1.5)... [ Info: Testing ArchimaxCopula{2, Copulas.ClaytonGenerator{Float64}, Copulas.LogTail{Float64}}(gen_θ = 3.0, tail_θ = 2.0)... [ Info: Testing ArchimaxCopula{2, Copulas.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, Copulas.FrankGenerator{Float64}, Copulas.GalambosTail{Float64}}(gen_θ = 0.8, tail_θ = 0.7)... [ Info: Testing ArchimaxCopula{2, Copulas.FrankGenerator{Float64}, Copulas.GalambosTail{Float64}}(gen_θ = 0.8, tail_θ = 2.5)... [ Info: Testing ArchimaxCopula{2, Copulas.FrankGenerator{Float64}, Copulas.HuslerReissTail{Float64}}(gen_θ = 0.8, tail_θ = 0.6)... [ Info: Testing ArchimaxCopula{2, Copulas.FrankGenerator{Float64}, Copulas.HuslerReissTail{Float64}}(gen_θ = 0.8, tail_θ = 1.8)... [ Info: Testing ArchimaxCopula{2, Copulas.FrankGenerator{Float64}, Copulas.LogTail{Float64}}(gen_θ = 0.8, tail_θ = 1.5)... [ Info: Testing ArchimaxCopula{2, Copulas.FrankGenerator{Float64}, Copulas.LogTail{Float64}}(gen_θ = 0.8, tail_θ = 2.0)... [ Info: Testing ArchimaxCopula{2, Copulas.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, Copulas.FrankGenerator{Float64}, Copulas.GalambosTail{Float64}}(gen_θ = 6.0, tail_θ = 0.7)... [ Info: Testing ArchimaxCopula{2, Copulas.FrankGenerator{Float64}, Copulas.GalambosTail{Float64}}(gen_θ = 6.0, tail_θ = 2.5)... [ Info: Testing ArchimaxCopula{2, Copulas.FrankGenerator{Float64}, Copulas.HuslerReissTail{Float64}}(gen_θ = 6.0, tail_θ = 0.6)... [ Info: Testing ArchimaxCopula{2, Copulas.FrankGenerator{Float64}, Copulas.HuslerReissTail{Float64}}(gen_θ = 6.0, tail_θ = 1.8)... [ Info: Testing ArchimaxCopula{2, Copulas.FrankGenerator{Float64}, Copulas.LogTail{Float64}}(gen_θ = 6.0, tail_θ = 1.5)... [ Info: Testing ArchimaxCopula{2, Copulas.FrankGenerator{Float64}, Copulas.LogTail{Float64}}(gen_θ = 6.0, tail_θ = 2.0)... [ Info: Testing ArchimaxCopula{2, Copulas.GumbelGenerator{Float64}, Copulas.AsymGalambosTail{Float64}}(gen_θ = 2.0, tail_α = 0.35, tail_θ₁ = 0.65, tail_θ₂ = 0.3)... [ Info: Testing BB5Copula{Float64}(gen_θ = 2.0, tail_θ = 0.7)... [ Info: Testing BB5Copula{Float64}(gen_θ = 2.0, tail_θ = 2.5)... [ Info: Testing ArchimaxCopula{2, Copulas.GumbelGenerator{Float64}, Copulas.HuslerReissTail{Float64}}(gen_θ = 2.0, tail_θ = 0.6)... [ Info: Testing ArchimaxCopula{2, Copulas.GumbelGenerator{Float64}, Copulas.HuslerReissTail{Float64}}(gen_θ = 2.0, tail_θ = 1.8)... [ Info: Testing ArchimaxCopula{2, Copulas.GumbelGenerator{Float64}, Copulas.LogTail{Float64}}(gen_θ = 2.0, tail_θ = 1.5)... [ Info: Testing ArchimaxCopula{2, Copulas.GumbelGenerator{Float64}, Copulas.LogTail{Float64}}(gen_θ = 2.0, tail_θ = 2.0)... [ Info: Testing ArchimaxCopula{2, Copulas.GumbelGenerator{Float64}, Copulas.AsymGalambosTail{Float64}}(gen_θ = 4.0, tail_α = 0.35, tail_θ₁ = 0.65, tail_θ₂ = 0.3)... [ Info: Testing BB5Copula{Float64}(gen_θ = 4.0, tail_θ = 0.7)... [ Info: Testing BB5Copula{Float64}(gen_θ = 4.0, tail_θ = 2.5)... [ Info: Testing ArchimaxCopula{2, Copulas.GumbelGenerator{Float64}, Copulas.HuslerReissTail{Float64}}(gen_θ = 4.0, tail_θ = 0.6)... [ Info: Testing ArchimaxCopula{2, Copulas.GumbelGenerator{Float64}, Copulas.HuslerReissTail{Float64}}(gen_θ = 4.0, tail_θ = 1.8)... [ Info: Testing ArchimaxCopula{2, Copulas.GumbelGenerator{Float64}, Copulas.LogTail{Float64}}(gen_θ = 4.0, tail_θ = 1.5)... [ Info: Testing ArchimaxCopula{2, Copulas.GumbelGenerator{Float64}, Copulas.LogTail{Float64}}(gen_θ = 4.0, tail_θ = 2.0)... [ Info: Testing ArchimaxCopula{2, Copulas.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, Copulas.JoeGenerator{Float64}, Copulas.GalambosTail{Float64}}(gen_θ = 1.2, tail_θ = 0.7)... [ Info: Testing ArchimaxCopula{2, Copulas.JoeGenerator{Float64}, Copulas.GalambosTail{Float64}}(gen_θ = 1.2, tail_θ = 2.5)... [ Info: Testing ArchimaxCopula{2, Copulas.JoeGenerator{Float64}, Copulas.HuslerReissTail{Float64}}(gen_θ = 1.2, tail_θ = 0.6)... [ Info: Testing ArchimaxCopula{2, Copulas.JoeGenerator{Float64}, Copulas.HuslerReissTail{Float64}}(gen_θ = 1.2, tail_θ = 1.8)... [ Info: Testing ArchimaxCopula{2, Copulas.JoeGenerator{Float64}, Copulas.LogTail{Float64}}(gen_θ = 1.2, tail_θ = 1.5)... [ Info: Testing ArchimaxCopula{2, Copulas.JoeGenerator{Float64}, Copulas.LogTail{Float64}}(gen_θ = 1.2, tail_θ = 2.0)... [ Info: Testing ArchimaxCopula{2, Copulas.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, Copulas.JoeGenerator{Float64}, Copulas.GalambosTail{Float64}}(gen_θ = 2.5, tail_θ = 0.7)... [ Info: Testing ArchimaxCopula{2, Copulas.JoeGenerator{Float64}, Copulas.GalambosTail{Float64}}(gen_θ = 2.5, tail_θ = 2.5)... [ Info: Testing ArchimaxCopula{2, Copulas.JoeGenerator{Float64}, Copulas.HuslerReissTail{Float64}}(gen_θ = 2.5, tail_θ = 0.6)... [ Info: Testing ArchimaxCopula{2, Copulas.JoeGenerator{Float64}, Copulas.HuslerReissTail{Float64}}(gen_θ = 2.5, tail_θ = 1.8)... [ Info: Testing ArchimaxCopula{2, Copulas.JoeGenerator{Float64}, Copulas.LogTail{Float64}}(gen_θ = 2.5, tail_θ = 1.5)... [ Info: Testing ArchimaxCopula{2, Copulas.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{Float64}(α = 0.1, θ₁ = 0.2, θ₂ = 0.6)... [ Info: Testing AsymGalambosCopula{Float64}(α = 0.6129496106778634, θ₁ = 0.820474440393214, θ₂ = 0.22304578643880224)... [ Info: Testing GalambosCopula{Float64}(θ = 11.5,)... [ Info: Testing AsymGalambosCopula{Float64}(α = 13.5, θ₁ = 0.2, θ₂ = 0.9)... [ Info: Testing AsymGalambosCopula{Float64}(α = 11.647356700032505, θ₁ = 0.6195348270893413, θ₂ = 0.4197760589260566)... [ Info: Testing AsymGalambosCopula{Float64}(α = 5.0, θ₁ = 0.8, θ₂ = 0.3)... [ Info: Testing GalambosCopula{Float64}(θ = 6.6,)... [ Info: Testing AsymGalambosCopula{Float64}(α = 5.4, θ₁ = 0.2, θ₂ = 0.6)... [ Info: Testing AsymGalambosCopula{Float64}(α = 8.810168494949659, θ₁ = 0.5987759444612732, θ₂ = 0.5391280234619427)... [ Info: Testing GalambosCopula{Float64}(θ = 0.9,)... [ Info: Testing AsymGalambosCopula{Float64}(α = 0.3, θ₁ = 0.8, θ₂ = 0.1)... [ Info: Testing AsymLogCopula{Float64}(α = 1.0, θ₁ = 0.0, θ₂ = 0.0)... [ Info: Testing AsymLogCopula{Float64}(α = 1.0, θ₁ = 1.0, θ₂ = 1.0)... [ Info: Testing AsymLogCopula{Float64}(α = 1.0, θ₁ = 0.1, θ₂ = 0.6)... [ Info: Testing AsymLogCopula{Float64}(α = 1.2, θ₁ = 0.3, θ₂ = 0.6)... [ Info: Testing AsymLogCopula{Float64}(α = 1.5, θ₁ = 0.5, θ₂ = 0.2)... [ Info: Testing AsymLogCopula{Float64}(α = 4.6, θ₁ = 0.0, θ₂ = 0.0)... [ Info: Testing AsymLogCopula{Float64}(α = 1.04, θ₁ = 1.0, θ₂ = 1.0)... [ Info: Testing AsymLogCopula{Float64}(α = 1.8, θ₁ = 0.3, θ₂ = 0.4)... [ Info: Testing AsymLogCopula{Float64}(α = 12.5, θ₁ = 0.0, θ₂ = 0.0)... [ Info: Testing AsymLogCopula{Float64}(α = 13.0, θ₁ = 1.0, θ₂ = 1.0)... [ Info: Testing AsymLogCopula{Float64}(α = 13.5, θ₁ = 0.8, θ₂ = 0.2)... [ Info: Testing AsymMixedCopula{Float64}(θ₁ = 0.1, θ₂ = 0.2)... [ Info: Testing AsymMixedCopula{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{Float64}(gen_θ = 0.5, tail_θ = 1.6)... [ Info: Testing BB4Copula{Float64}(gen_θ = 2.5, tail_θ = 0.4)... [ Info: Testing BB4Copula{Float64}(gen_θ = 3.0, tail_θ = 2.1)... [ Info: Testing BB5Copula{Float64}(gen_θ = 1.5, tail_θ = 1.6)... [ Info: Testing BB5Copula{Float64}(gen_θ = 2.5, tail_θ = 0.4)... [ Info: Testing BB5Copula{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{Float64}(a = 0.5, b = 0.3)... [ Info: Testing BC2Copula{Float64}(a = 0.5, b = 0.5)... [ Info: Testing BC2Copula{Float64}(a = 0.5516353577049822, b = 0.33689370624999193)... [ Info: Testing BC2Copula{Float64}(a = 0.7, b = 0.3)... [ Info: Testing BC2Copula{Float64}(a = 1.0, b = 0.0)... [ Info: Testing BC2Copula{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{Float64}(θ = 0.1,)... [ Info: Testing CuadrasAugeCopula{Float64}(θ = 0.3437537135972244,)... [ Info: Testing CuadrasAugeCopula{Float64}(θ = 0.7103550345192344,)... [ Info: Testing CuadrasAugeCopula{Float64}(θ = 0.8,)... [ Info: Testing MCopula{2}()... [ Info: Testing CuadrasAugeCopula{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,)... [ 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{Float64}(θ = 0.3,)... [ Info: Testing GalambosCopula{Float64}(θ = 3.0,)... [ Info: Testing GalambosCopula{Float64}(θ = 120.0,)... [ Info: Testing GalambosCopula{Float64}(θ = 20.0,)... [ Info: Testing GalambosCopula{Float64}(θ = 210.0,)... [ Info: Testing GalambosCopula{Float64}(θ = 4.3,)... [ Info: Testing GalambosCopula{Float64}(θ = 8.0,)... [ Info: Testing GalambosCopula{Float64}(θ = 80.0,)... [ Info: Testing GalambosCopula{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{Float64}(θ = 0.1,)... [ Info: Testing HuslerReissCopula{Float64}(θ = 0.256693308150987,)... [ Info: Testing HuslerReissCopula{Float64}(θ = 1.6287031392529938,)... [ Info: Testing HuslerReissCopula{Float64}(θ = 3.5,)... [ Info: Testing HuslerReissCopula{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{Float64}(θ = 1.5,)... [ Info: Testing LogCopula{Float64}(θ = 4.6,)... [ Info: Testing LogCopula{Float64}(θ = 5.5,)... [ Info: Testing MixedCopula{Float64}(θ = 0.2,)... [ Info: Testing MixedCopula{Float64}(θ = 0.5,)... [ Info: Testing MixedCopula{Float64}(θ = 1.0,)... [ Info: Testing MOCopula{Float64}(λ₁ = 0.1, λ₂ = 0.2, λ₃ = 0.3)... [ Info: Testing MOCopula{Float64}(λ₁ = 0.5, λ₂ = 0.5, λ₃ = 0.5)... [ Info: Testing MOCopula{Float64}(λ₁ = 0.5960710257852946, λ₂ = 0.3313524247810329, λ₃ = 0.09653466861970061)... [ Info: Testing MOCopula{Float64}(λ₁ = 1.0, λ₂ = 1.0, λ₃ = 1.0)... [ Info: Testing MOCopula{Float64}(λ₁ = 0.1, λ₂ = 0.5, λ₃ = 0.9)... [ Info: Testing PlackettCopula{Float64}(θ=0.5)... [ Info: Testing PlackettCopula{Float64}(θ=0.8)... [ Info: Testing PlackettCopula{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, 2, Matrix{Float64}}(Σ = [1.0 0.7; 0.7 1.0]))... [ Info: Testing TCopula{2, 20, Matrix{Float64}}(Σ = [1.0 -0.5; -0.5 1.0]))... [ Info: Testing TCopula{2, 4, Matrix{Float64}}(Σ = [1.0 0.5; 0.5 1.0]))... [ Info: Testing tEVCopula{Float64}(ν = 2.0, ρ = 0.5)... [ Info: Testing tEVCopula{Float64}(ν = 4.0, ρ = 0.5)... [ Info: Testing tEVCopula{Float64}(ν = 7.0, ρ = -0.33000000000000007)... [ Info: Testing tEVCopula{Float64}(ν = 5.0, ρ = -0.5)... [ Info: Testing tEVCopula{Float64}(ν = 5.466564460573727, ρ = -0.6566645244416698)... [ Info: Testing WCopula()... [ 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)⟩... Test Summary: | Pass Broken Total Time Copulas.jl testings | 22140 1735 23875 34m23.8s f = Aqua.jl | 10 10 1m33.8s Aqua.jl | 10 10 1m33.1s f = ArchimedeanCopulas.jl | 137 4 141 50.2s Boundary test for bivariate Joe, Gumbel and Frank | 56 56 6.5s Fix values of bivariate ClaytonCopula: τ, cdf, pdf and contructor | 28 28 5.9s Archimedean - Fix Kendall and Spearman correlation | 25 1 26 11.6s Testing empirical tail values of certain copula samples | 9 3 12 5.0s Test of τ ∘ τ⁻¹ = Id | 7 7 4.7s Test of ρ ∘ ρ⁻¹ = Id | 7 7 10.6s Fix clayton conditionals | 5 5 3.4s f = ConditionalDistribution.jl | 233 233 57.9s IndependentCopula conditional | 10 10 1.5s Generic Distortion vs AD (bivariate small subset) | 48 48 9.8s Generic ConditionalCopula vs AD (3D, p=1) | 24 24 4.4s Independent univariate conditional cases | 7 7 0.6s GaussianCopula univariate conditional (uniform scale) | 10 10 6.4s Bivariate Archimedean conditional (generator formula across families) | 90 90 0.5s GaussianCopula conditional copula vs MVN | 3 3 16.5s Higher-dim Archimedean conditional (3|2 via generator derivatives) | 24 24 2.1s Gaussian Sklar conditional vs MVN with normal marginals | 8 8 8.0s Generic fallback sanity (Clayton small d) | 9 9 5.4s f = EllipticalCopulas.jl | 7 7 20.5s GaussianCopula | 1 1 18.7s Fix value Gaussian Copula & SklarDist | 1 1 0.4s GaussianCopula equicorrelation constructor | 5 5 0.9s f = FittingTest.jl | 259 259 4m11.5s Fitting + vcov + StatsBase interfaces | 209 209 3m50.2s Dependence Metrics | 50 50 20.6s f = MiscelaneousCopulas.jl | 69 69 8.1s Testing survival stuff | 3 3 0.4s RafteryCopula Constructor | 8 8 0.0s RafteryCopula CDF | 14 14 1.2s Check against manual version - CDF | 4 4 0.3s 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 3.7s f = SklarDist.jl | 12 12 23.4s Generic API plumbing | 12 12 23.4s f = GenericTests.jl | 21413 1731 23144 25m58.4s C = AMHCopula{2, Float64}(θ = -1.0,) | 73 9 82 21.0s C = AMHCopula{2, Float64}(θ = -0.6,) | 73 9 82 0.3s C = AMHCopula{2, Float64}(θ = 0.7,) | 73 9 82 0.1s C = AMHCopula{2, Float64}(θ = 0.9,) | 73 9 82 0.0s C = AMHCopula{3, Float64}(θ = -0.003,) | 69 9 78 12.4s C = AMHCopula{3, Float64}(θ = 0.6,) | 69 9 78 0.1s C = AMHCopula{3, Float64}(θ = 0.2,) | 69 9 78 0.0s C = AMHCopula{4, Float64}(θ = -0.01,) | 81 9 90 11.9s 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) | 96 4 100 28.5s C = ArchimaxCopula{2, Copulas.BB1Generator{Float64}, Copulas.GalambosTail{Float64}}(gen_θ = 1.3, gen_δ = 1.4, tail_θ = 0.7) | 96 4 100 15.3s C = ArchimaxCopula{2, Copulas.BB1Generator{Float64}, Copulas.GalambosTail{Float64}}(gen_θ = 1.3, gen_δ = 1.4, tail_θ = 2.5) | 96 4 100 0.0s C = ArchimaxCopula{2, Copulas.BB1Generator{Float64}, Copulas.HuslerReissTail{Float64}}(gen_θ = 1.3, gen_δ = 1.4, tail_θ = 0.6) | 96 4 100 14.5s C = ArchimaxCopula{2, Copulas.BB1Generator{Float64}, Copulas.HuslerReissTail{Float64}}(gen_θ = 1.3, gen_δ = 1.4, tail_θ = 1.8) | 96 4 100 0.0s C = ArchimaxCopula{2, Copulas.BB1Generator{Float64}, Copulas.LogTail{Float64}}(gen_θ = 1.3, gen_δ = 1.4, tail_θ = 1.5) | 96 4 100 13.3s C = ArchimaxCopula{2, Copulas.BB1Generator{Float64}, Copulas.LogTail{Float64}}(gen_θ = 1.3, gen_δ = 1.4, tail_θ = 2.0) | 96 4 100 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) | 96 4 100 0.1s C = ArchimaxCopula{2, Copulas.BB1Generator{Float64}, Copulas.GalambosTail{Float64}}(gen_θ = 2.0, gen_δ = 2.0, tail_θ = 0.7) | 96 4 100 0.0s C = ArchimaxCopula{2, Copulas.BB1Generator{Float64}, Copulas.GalambosTail{Float64}}(gen_θ = 2.0, gen_δ = 2.0, tail_θ = 2.5) | 96 4 100 0.0s C = ArchimaxCopula{2, Copulas.BB1Generator{Float64}, Copulas.HuslerReissTail{Float64}}(gen_θ = 2.0, gen_δ = 2.0, tail_θ = 0.6) | 96 4 100 0.0s C = ArchimaxCopula{2, Copulas.BB1Generator{Float64}, Copulas.HuslerReissTail{Float64}}(gen_θ = 2.0, gen_δ = 2.0, tail_θ = 1.8) | 96 4 100 0.0s C = ArchimaxCopula{2, Copulas.BB1Generator{Float64}, Copulas.LogTail{Float64}}(gen_θ = 2.0, gen_δ = 2.0, tail_θ = 1.5) | 96 4 100 0.0s C = ArchimaxCopula{2, Copulas.BB1Generator{Float64}, Copulas.LogTail{Float64}}(gen_θ = 2.0, gen_δ = 2.0, tail_θ = 2.0) | 96 4 100 0.0s C = ArchimaxCopula{2, Copulas.ClaytonGenerator{Float64}, Copulas.AsymGalambosTail{Float64}}(gen_θ = 1.5, tail_α = 0.35, tail_θ₁ = 0.65, tail_θ₂ = 0.3) | 96 4 100 14.1s C = BB4Copula{Float64}(gen_θ = 1.5, tail_θ = 0.7) | 96 4 100 12.9s C = BB4Copula{Float64}(gen_θ = 1.5, tail_θ = 2.5) | 96 4 100 0.0s C = ArchimaxCopula{2, Copulas.ClaytonGenerator{Float64}, Copulas.HuslerReissTail{Float64}}(gen_θ = 1.5, tail_θ = 0.6) | 96 4 100 13.4s C = ArchimaxCopula{2, Copulas.ClaytonGenerator{Float64}, Copulas.HuslerReissTail{Float64}}(gen_θ = 1.5, tail_θ = 1.8) | 96 4 100 0.0s C = ArchimaxCopula{2, Copulas.ClaytonGenerator{Float64}, Copulas.LogTail{Float64}}(gen_θ = 1.5, tail_θ = 1.5) | 96 4 100 12.7s C = ArchimaxCopula{2, Copulas.ClaytonGenerator{Float64}, Copulas.LogTail{Float64}}(gen_θ = 1.5, tail_θ = 2.0) | 96 4 100 0.0s C = ArchimaxCopula{2, Copulas.ClaytonGenerator{Float64}, Copulas.AsymGalambosTail{Float64}}(gen_θ = 3.0, tail_α = 0.35, tail_θ₁ = 0.65, tail_θ₂ = 0.3) | 96 4 100 0.0s C = BB4Copula{Float64}(gen_θ = 3.0, tail_θ = 0.7) | 96 4 100 0.0s C = BB4Copula{Float64}(gen_θ = 3.0, tail_θ = 2.5) | 96 4 100 0.0s C = ArchimaxCopula{2, Copulas.ClaytonGenerator{Float64}, Copulas.HuslerReissTail{Float64}}(gen_θ = 3.0, tail_θ = 0.6) | 96 4 100 0.0s C = ArchimaxCopula{2, Copulas.ClaytonGenerator{Float64}, Copulas.HuslerReissTail{Float64}}(gen_θ = 3.0, tail_θ = 1.8) | 96 4 100 0.0s C = ArchimaxCopula{2, Copulas.ClaytonGenerator{Float64}, Copulas.LogTail{Float64}}(gen_θ = 3.0, tail_θ = 1.5) | 96 4 100 0.0s C = ArchimaxCopula{2, Copulas.ClaytonGenerator{Float64}, Copulas.LogTail{Float64}}(gen_θ = 3.0, tail_θ = 2.0) | 96 4 100 0.0s C = ArchimaxCopula{2, Copulas.FrankGenerator{Float64}, Copulas.AsymGalambosTail{Float64}}(gen_θ = 0.8, tail_α = 0.35, tail_θ₁ = 0.65, tail_θ₂ = 0.3) | 96 4 100 12.7s C = ArchimaxCopula{2, Copulas.FrankGenerator{Float64}, Copulas.GalambosTail{Float64}}(gen_θ = 0.8, tail_θ = 0.7) | 96 4 100 13.2s C = ArchimaxCopula{2, Copulas.FrankGenerator{Float64}, Copulas.GalambosTail{Float64}}(gen_θ = 0.8, tail_θ = 2.5) | 96 4 100 0.0s C = ArchimaxCopula{2, Copulas.FrankGenerator{Float64}, Copulas.HuslerReissTail{Float64}}(gen_θ = 0.8, tail_θ = 0.6) | 96 4 100 13.6s C = ArchimaxCopula{2, Copulas.FrankGenerator{Float64}, Copulas.HuslerReissTail{Float64}}(gen_θ = 0.8, tail_θ = 1.8) | 96 4 100 0.0s C = ArchimaxCopula{2, Copulas.FrankGenerator{Float64}, Copulas.LogTail{Float64}}(gen_θ = 0.8, tail_θ = 1.5) | 96 4 100 12.5s C = ArchimaxCopula{2, Copulas.FrankGenerator{Float64}, Copulas.LogTail{Float64}}(gen_θ = 0.8, tail_θ = 2.0) | 96 4 100 0.0s C = ArchimaxCopula{2, Copulas.FrankGenerator{Float64}, Copulas.AsymGalambosTail{Float64}}(gen_θ = 6.0, tail_α = 0.35, tail_θ₁ = 0.65, tail_θ₂ = 0.3) | 96 4 100 0.0s C = ArchimaxCopula{2, Copulas.FrankGenerator{Float64}, Copulas.GalambosTail{Float64}}(gen_θ = 6.0, tail_θ = 0.7) | 96 4 100 0.0s C = ArchimaxCopula{2, Copulas.FrankGenerator{Float64}, Copulas.GalambosTail{Float64}}(gen_θ = 6.0, tail_θ = 2.5) | 96 4 100 0.0s C = ArchimaxCopula{2, Copulas.FrankGenerator{Float64}, Copulas.HuslerReissTail{Float64}}(gen_θ = 6.0, tail_θ = 0.6) | 96 4 100 0.0s C = ArchimaxCopula{2, Copulas.FrankGenerator{Float64}, Copulas.HuslerReissTail{Float64}}(gen_θ = 6.0, tail_θ = 1.8) | 96 4 100 0.0s C = ArchimaxCopula{2, Copulas.FrankGenerator{Float64}, Copulas.LogTail{Float64}}(gen_θ = 6.0, tail_θ = 1.5) | 96 4 100 0.0s C = ArchimaxCopula{2, Copulas.FrankGenerator{Float64}, Copulas.LogTail{Float64}}(gen_θ = 6.0, tail_θ = 2.0) | 96 4 100 0.0s C = ArchimaxCopula{2, Copulas.GumbelGenerator{Float64}, Copulas.AsymGalambosTail{Float64}}(gen_θ = 2.0, tail_α = 0.35, tail_θ₁ = 0.65, tail_θ₂ = 0.3) | 96 4 100 13.6s C = BB5Copula{Float64}(gen_θ = 2.0, tail_θ = 0.7) | 96 4 100 10.8s C = BB5Copula{Float64}(gen_θ = 2.0, tail_θ = 2.5) | 96 4 100 0.0s C = ArchimaxCopula{2, Copulas.GumbelGenerator{Float64}, Copulas.HuslerReissTail{Float64}}(gen_θ = 2.0, tail_θ = 0.6) | 96 4 100 14.6s C = ArchimaxCopula{2, Copulas.GumbelGenerator{Float64}, Copulas.HuslerReissTail{Float64}}(gen_θ = 2.0, tail_θ = 1.8) | 96 4 100 0.0s C = ArchimaxCopula{2, Copulas.GumbelGenerator{Float64}, Copulas.LogTail{Float64}}(gen_θ = 2.0, tail_θ = 1.5) | 96 4 100 13.1s C = ArchimaxCopula{2, Copulas.GumbelGenerator{Float64}, Copulas.LogTail{Float64}}(gen_θ = 2.0, tail_θ = 2.0) | 96 4 100 0.0s C = ArchimaxCopula{2, Copulas.GumbelGenerator{Float64}, Copulas.AsymGalambosTail{Float64}}(gen_θ = 4.0, tail_α = 0.35, tail_θ₁ = 0.65, tail_θ₂ = 0.3) | 96 4 100 0.1s C = BB5Copula{Float64}(gen_θ = 4.0, tail_θ = 0.7) | 96 4 100 0.0s C = BB5Copula{Float64}(gen_θ = 4.0, tail_θ = 2.5) | 96 4 100 0.0s C = ArchimaxCopula{2, Copulas.GumbelGenerator{Float64}, Copulas.HuslerReissTail{Float64}}(gen_θ = 4.0, tail_θ = 0.6) | 96 4 100 0.0s C = ArchimaxCopula{2, Copulas.GumbelGenerator{Float64}, Copulas.HuslerReissTail{Float64}}(gen_θ = 4.0, tail_θ = 1.8) | 96 4 100 0.0s C = ArchimaxCopula{2, Copulas.GumbelGenerator{Float64}, Copulas.LogTail{Float64}}(gen_θ = 4.0, tail_θ = 1.5) | 96 4 100 0.0s C = ArchimaxCopula{2, Copulas.GumbelGenerator{Float64}, Copulas.LogTail{Float64}}(gen_θ = 4.0, tail_θ = 2.0) | 96 4 100 0.0s C = ArchimaxCopula{2, Copulas.JoeGenerator{Float64}, Copulas.AsymGalambosTail{Float64}}(gen_θ = 1.2, tail_α = 0.35, tail_θ₁ = 0.65, tail_θ₂ = 0.3) | 96 4 100 13.1s C = ArchimaxCopula{2, Copulas.JoeGenerator{Float64}, Copulas.GalambosTail{Float64}}(gen_θ = 1.2, tail_θ = 0.7) | 96 4 100 13.2s C = ArchimaxCopula{2, Copulas.JoeGenerator{Float64}, Copulas.GalambosTail{Float64}}(gen_θ = 1.2, tail_θ = 2.5) | 96 4 100 0.0s C = ArchimaxCopula{2, Copulas.JoeGenerator{Float64}, Copulas.HuslerReissTail{Float64}}(gen_θ = 1.2, tail_θ = 0.6) | 96 4 100 14.9s C = ArchimaxCopula{2, Copulas.JoeGenerator{Float64}, Copulas.HuslerReissTail{Float64}}(gen_θ = 1.2, tail_θ = 1.8) | 96 4 100 0.0s C = ArchimaxCopula{2, Copulas.JoeGenerator{Float64}, Copulas.LogTail{Float64}}(gen_θ = 1.2, tail_θ = 1.5) | 96 4 100 13.7s C = ArchimaxCopula{2, Copulas.JoeGenerator{Float64}, Copulas.LogTail{Float64}}(gen_θ = 1.2, tail_θ = 2.0) | 96 4 100 0.0s C = ArchimaxCopula{2, Copulas.JoeGenerator{Float64}, Copulas.AsymGalambosTail{Float64}}(gen_θ = 2.5, tail_α = 0.35, tail_θ₁ = 0.65, tail_θ₂ = 0.3) | 96 4 100 0.0s C = ArchimaxCopula{2, Copulas.JoeGenerator{Float64}, Copulas.GalambosTail{Float64}}(gen_θ = 2.5, tail_θ = 0.7) | 96 4 100 0.0s C = ArchimaxCopula{2, Copulas.JoeGenerator{Float64}, Copulas.GalambosTail{Float64}}(gen_θ = 2.5, tail_θ = 2.5) | 96 4 100 0.0s C = ArchimaxCopula{2, Copulas.JoeGenerator{Float64}, Copulas.HuslerReissTail{Float64}}(gen_θ = 2.5, tail_θ = 0.6) | 96 4 100 0.0s C = ArchimaxCopula{2, Copulas.JoeGenerator{Float64}, Copulas.HuslerReissTail{Float64}}(gen_θ = 2.5, tail_θ = 1.8) | 96 4 100 0.0s C = ArchimaxCopula{2, Copulas.JoeGenerator{Float64}, Copulas.LogTail{Float64}}(gen_θ = 2.5, tail_θ = 1.5) | 96 4 100 0.0s C = ArchimaxCopula{2, Copulas.JoeGenerator{Float64}, Copulas.LogTail{Float64}}(gen_θ = 2.5, tail_θ = 2.0) | 96 4 100 0.0s C = ArchimedeanCopula(10, 𝒲(Dirac{Int64}(value=1), 10)) | 149 19 168 10.4s 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 18 169 49.4s C = ArchimedeanCopula(2, 𝒲(LogNormal{Float64}(μ=0.0, σ=1.0), 2)) | 50 18 68 57.8s C = ArchimedeanCopula(2, 𝒲(Pareto{Float64}(α=1.0, θ=1.0), 5)) | 50 18 68 14.5s C = AsymGalambosCopula{Float64}(α = 0.1, θ₁ = 0.2, θ₂ = 0.6) | 89 6 95 9.6s C = AsymGalambosCopula{Float64}(α = 0.6129496106778634, θ₁ = 0.820474440393214, θ₂ = 0.22304578643880224) | 89 6 95 0.0s C = GalambosCopula{Float64}(θ = 11.5,) | 107 4 111 16.0s C = AsymGalambosCopula{Float64}(α = 13.5, θ₁ = 0.2, θ₂ = 0.9) | 89 6 95 0.0s C = AsymGalambosCopula{Float64}(α = 11.647356700032505, θ₁ = 0.6195348270893413, θ₂ = 0.4197760589260566) | 89 6 95 0.0s C = AsymGalambosCopula{Float64}(α = 5.0, θ₁ = 0.8, θ₂ = 0.3) | 89 6 95 0.0s C = GalambosCopula{Float64}(θ = 6.6,) | 107 4 111 0.0s C = AsymGalambosCopula{Float64}(α = 5.4, θ₁ = 0.2, θ₂ = 0.6) | 89 6 95 0.0s C = AsymGalambosCopula{Float64}(α = 8.810168494949659, θ₁ = 0.5987759444612732, θ₂ = 0.5391280234619427) | 89 6 95 0.0s C = GalambosCopula{Float64}(θ = 0.9,) | 107 4 111 0.0s C = AsymGalambosCopula{Float64}(α = 0.3, θ₁ = 0.8, θ₂ = 0.1) | 89 6 95 0.0s C = AsymLogCopula{Float64}(α = 1.0, θ₁ = 0.0, θ₂ = 0.0) | 89 6 95 13.9s C = AsymLogCopula{Float64}(α = 1.0, θ₁ = 1.0, θ₂ = 1.0) | 89 6 95 0.0s C = AsymLogCopula{Float64}(α = 1.0, θ₁ = 0.1, θ₂ = 0.6) | 89 6 95 0.0s C = AsymLogCopula{Float64}(α = 1.2, θ₁ = 0.3, θ₂ = 0.6) | 89 6 95 0.0s C = AsymLogCopula{Float64}(α = 1.5, θ₁ = 0.5, θ₂ = 0.2) | 89 6 95 0.0s C = AsymLogCopula{Float64}(α = 4.6, θ₁ = 0.0, θ₂ = 0.0) | 89 6 95 0.0s C = AsymLogCopula{Float64}(α = 1.04, θ₁ = 1.0, θ₂ = 1.0) | 89 6 95 0.0s C = AsymLogCopula{Float64}(α = 1.8, θ₁ = 0.3, θ₂ = 0.4) | 89 6 95 0.0s C = AsymLogCopula{Float64}(α = 12.5, θ₁ = 0.0, θ₂ = 0.0) | 89 6 95 0.0s C = AsymLogCopula{Float64}(α = 13.0, θ₁ = 1.0, θ₂ = 1.0) | 89 6 95 0.0s C = AsymLogCopula{Float64}(α = 13.5, θ₁ = 0.8, θ₂ = 0.2) | 89 6 95 0.0s C = AsymMixedCopula{Float64}(θ₁ = 0.1, θ₂ = 0.2) | 89 6 95 12.5s C = AsymMixedCopula{Float64}(θ₁ = 0.12, θ₂ = 0.13) | 89 6 95 0.0s C = ClaytonCopula{2, Float64}(θ = 0.35,) | 74 7 81 14.4s C = BB1Copula{2, Float64}(θ = 1.2, δ = 1.5) | 69 12 81 6.0s C = BB1Copula{2, Float64}(θ = 2.5, δ = 1.5) | 69 12 81 0.0s C = BB2Copula{2, Float64}(θ = 1.2, δ = 0.5) | 71 9 80 9.2s C = BB2Copula{2, Float64}(θ = 1.5, δ = 1.8) | 71 9 80 0.0s C = BB2Copula{2, Float64}(θ = 2.0, δ = 1.5) | 71 9 80 0.0s C = BB3Copula{2, Float64}(θ = 2.0, δ = 1.5) | 71 9 80 8.9s C = BB3Copula{2, Float64}(θ = 2.5, δ = 0.5) | 71 9 80 0.0s C = BB3Copula{2, Float64}(θ = 3.0, δ = 1.0) | 71 9 80 0.0s C = BB4Copula{Float64}(gen_θ = 0.5, tail_θ = 1.6) | 96 4 100 0.0s C = BB4Copula{Float64}(gen_θ = 2.5, tail_θ = 0.4) | 96 4 100 0.0s C = BB4Copula{Float64}(gen_θ = 3.0, tail_θ = 2.1) | 96 4 100 0.0s C = BB5Copula{Float64}(gen_θ = 1.5, tail_θ = 1.6) | 96 4 100 0.0s C = BB5Copula{Float64}(gen_θ = 2.5, tail_θ = 0.4) | 96 4 100 0.0s C = BB5Copula{Float64}(gen_θ = 5.0, tail_θ = 0.5) | 96 4 100 0.0s C = BB6Copula{2, Float64}(θ = 1.2, δ = 1.6) | 70 11 81 8.7s C = BB6Copula{2, Float64}(θ = 1.5, δ = 1.4) | 70 11 81 0.0s C = BB6Copula{2, Float64}(θ = 2.0, δ = 1.5) | 70 11 81 0.0s C = BB7Copula{2, Float64}(θ = 1.2, δ = 1.6) | 70 11 81 5.7s C = BB7Copula{2, Float64}(θ = 1.5, δ = 0.4) | 70 11 81 0.0s C = BB7Copula{2, Float64}(θ = 2.0, δ = 1.5) | 70 11 81 0.0s C = BB8Copula{2, Float64}(ϑ = 1.2, δ = 0.4) | 70 11 81 7.4s C = BB8Copula{2, Float64}(ϑ = 1.5, δ = 0.6) | 70 11 81 0.0s C = BB8Copula{2, Float64}(ϑ = 2.5, δ = 0.8) | 70 11 81 0.0s C = BB9Copula{2, Float64}(θ = 1.5, δ = 2.4) | 70 11 81 8.5s C = BB9Copula{2, Float64}(θ = 2.0, δ = 1.5) | 70 11 81 0.0s C = BB9Copula{2, Float64}(θ = 2.8, δ = 2.6) | 70 11 81 0.0s C = BB10Copula{2, Float64}(θ = 1.5, δ = 0.7) | 70 11 81 7.8s C = BB10Copula{2, Float64}(θ = 3.0, δ = 0.8) | 70 11 81 0.0s C = BB10Copula{2, Float64}(θ = 4.5, δ = 0.6) | 70 11 81 0.0s C = BC2Copula{Float64}(a = 0.5, b = 0.3) | 83 10 93 10.5s C = BC2Copula{Float64}(a = 0.5, b = 0.5) | 83 10 93 0.0s C = BC2Copula{Float64}(a = 0.5516353577049822, b = 0.33689370624999193) | 83 10 93 0.0s C = BC2Copula{Float64}(a = 0.7, b = 0.3) | 83 10 93 0.1s C = BC2Copula{Float64}(a = 1.0, b = 0.0) | 83 10 93 0.0s C = BC2Copula{Float64}(a = 0.6, b = 0.8) | 83 10 93 0.0s C = BernsteinCopula(2, m=(5, 5)) | 49 8 57 8.9s C = BernsteinCopula(3, m=(5, 5, 5)) | 45 8 53 13.6s C = BernsteinCopula(2, m=(5, 5)) | 49 8 57 0.0s C = BernsteinCopula(2, m=(5, 5)) | 49 8 57 0.0s C = BernsteinCopula(4, m=(5, 5, 5, 5)) | 57 8 65 18.3s C = ClaytonCopula{2, Float64}(θ = -0.7,) | 74 7 81 0.3s C = ClaytonCopula{2, Float64}(θ = 0.9,) | 74 7 81 0.1s C = ClaytonCopula{2, Float64}(θ = 0.3,) | 74 7 81 0.0s C = ClaytonCopula{2, Float64}(θ = 7.0,) | 74 7 81 0.1s C = ClaytonCopula{3, Float64}(θ = 7.3,) | 71 7 78 2.7s C = ClaytonCopula{3, Float64}(θ = -0.36,) | 71 7 78 0.4s C = ClaytonCopula{4, Float64}(θ = 3.7,) | 84 7 91 15.5s C = ClaytonCopula{4, Float64}(θ = -0.22,) | 84 7 91 0.1s C = SubsetCopula(RafteryCopula{3, Float64}(θ=0.5), (2, 1)) | 80 6 86 12.8s C = IndependentCopula{2}() | 80 6 86 2.9s C = CuadrasAugeCopula{Float64}(θ = 0.1,) | 60 9 69 14.2s C = CuadrasAugeCopula{Float64}(θ = 0.3437537135972244,) | 60 9 69 0.0s C = CuadrasAugeCopula{Float64}(θ = 0.7103550345192344,) | 60 9 69 0.0s C = CuadrasAugeCopula{Float64}(θ = 0.8,) | 60 9 69 0.0s C = MCopula{2}() | 56 8 64 2.1s C = CuadrasAugeCopula{Float64}(θ = 0.2,) | 60 9 69 0.0s C = FGMCopula{2}(θ = [0.4]) | 84 5 89 24.5s C = FGMCopula{3}(θ = [0.3, 0.3, 0.3, 0.3]) | 50 6 56 25.7s C = FGMCopula{3}(θ = [0.1, 0.2, 0.3, 0.4]) | 50 6 56 1.0s C = FrankCopula{2, Float64}(θ = -5.0,) | 101 7 108 18.3s C = FrankCopula{2, Float64}(θ = 0.5,) | 101 7 108 0.3s C = FrankCopula{2, Float64}(θ = 1.1053605156578263,) | 101 7 108 0.0s C = FrankCopula{2, Float64}(θ = 1.0,) | 101 7 108 0.0s C = FrankCopula{3, Float64}(θ = 3.3025850929940455,) | 77 6 83 18.4s C = FrankCopula{3, Float64}(θ = 12.0,) | 77 6 83 0.0s C = FrankCopula{4, Float64}(θ = 2.203972804325936,) | 89 6 95 18.7s C = FrankCopula{4, Float64}(θ = 150.0,) | 75 10 85 0.1s C = FrankCopula{4, Float64}(θ = 30.0,) | 89 6 95 0.0s C = FrankCopula{4, Float64}(θ = 37.0,) | 89 6 95 0.0s C = GalambosCopula{Float64}(θ = 0.3,) | 107 4 111 0.0s C = GalambosCopula{Float64}(θ = 3.0,) | 107 4 111 0.0s C = GalambosCopula{Float64}(θ = 120.0,) | 107 4 111 0.0s C = GalambosCopula{Float64}(θ = 20.0,) | 107 4 111 0.0s C = GalambosCopula{Float64}(θ = 210.0,) | 107 4 111 0.0s C = GalambosCopula{Float64}(θ = 4.3,) | 107 4 111 0.0s C = GalambosCopula{Float64}(θ = 8.0,) | 107 4 111 0.0s C = GalambosCopula{Float64}(θ = 80.0,) | 107 4 111 0.0s C = GalambosCopula{Float64}(θ = 0.7,) | 107 4 111 0.0s C = GaussianCopula{2, Matrix{Float64}}(Σ = [1.0 0.5; 0.5 1.0])) | 84 5 89 30.2s C = GaussianCopula{2, Matrix{Float64}}(Σ = [1.0 0.7; 0.7 1.0])) | 84 5 89 0.0s C = GumbelBarnettCopula{2, Float64}(θ = 1.0,) | 73 9 82 18.0s C = GumbelBarnettCopula{2, Float64}(θ = 0.7,) | 73 9 82 0.0s C = GumbelBarnettCopula{3, Float64}(θ = 0.1,) | 69 9 78 15.2s C = GumbelBarnettCopula{3, Float64}(θ = 0.35,) | 69 9 78 0.3s C = GumbelBarnettCopula{3, Float64}(θ = 0.07600000000000001,) | 69 9 78 0.1s C = GumbelBarnettCopula{4, Float64}(θ = 0.2,) | 81 9 90 15.2s C = GumbelCopula{2, Float64}(θ = 1.2,) | 74 8 82 13.6s C = GumbelCopula{2, Float64}(θ = 1.1053605156578263,) | 74 8 82 1.0s C = GumbelCopula{2, Float64}(θ = 8.0,) | 74 8 82 0.4s C = GumbelCopula{3, Float64}(θ = 2.6094379124341005,) | 70 8 78 18.9s C = GumbelCopula{4, Float64}(θ = 2.203972804325936,) | 82 8 90 19.3s C = GumbelCopula{4, Float64}(θ = 100.0,) | 75 10 85 1.1s C = GumbelCopula{4, Float64}(θ = 20.0,) | 81 9 90 0.8s C = GumbelCopula{4, Float64}(θ = 7.0,) | 82 8 90 3.7s C = HuslerReissCopula{Float64}(θ = 0.1,) | 89 6 95 18.6s C = HuslerReissCopula{Float64}(θ = 0.256693308150987,) | 89 6 95 0.0s C = HuslerReissCopula{Float64}(θ = 1.6287031392529938,) | 89 6 95 0.0s C = HuslerReissCopula{Float64}(θ = 3.5,) | 89 6 95 0.0s C = HuslerReissCopula{Float64}(θ = 5.319851350643586,) | 89 6 95 0.0s C = InvGaussianCopula{2, Float64}(θ = 0.10536051565782628,) | 73 9 82 22.2s C = InvGaussianCopula{2, Float64}(θ = 1.0,) | 73 9 82 0.0s C = InvGaussianCopula{2, Float64}(θ = 0.2,) | 73 9 82 0.1s C = InvGaussianCopula{3, Float64}(θ = 0.5108256237659907,) | 69 9 78 19.0s C = InvGaussianCopula{3, Float64}(θ = 0.4,) | 69 9 78 0.1s C = InvGaussianCopula{4, Float64}(θ = 2.3025850929940455,) | 81 9 90 18.9s C = InvGaussianCopula{4, Float64}(θ = 0.05,) | 81 9 90 0.2s C = JoeCopula{2, Float64}(θ = 1.6931471805599454,) | 73 9 82 17.6s C = JoeCopula{2, Float64}(θ = 3.0,) | 73 9 82 0.2s C = JoeCopula{3, Float64}(θ = 2.203972804325936,) | 69 9 78 16.5s C = JoeCopula{3, Float64}(θ = 7.0,) | 69 9 78 1.2s C = JoeCopula{4, Float64}(θ = 3.3025850929940455,) | 81 9 90 17.9s C = LogCopula{Float64}(θ = 1.5,) | 107 4 111 17.9s C = LogCopula{Float64}(θ = 4.6,) | 107 4 111 0.0s C = LogCopula{Float64}(θ = 5.5,) | 107 4 111 0.0s C = MixedCopula{Float64}(θ = 0.2,) | 89 6 95 20.9s C = MixedCopula{Float64}(θ = 0.5,) | 89 6 95 0.5s C = MixedCopula{Float64}(θ = 1.0,) | 89 6 95 0.4s C = MOCopula{Float64}(λ₁ = 0.1, λ₂ = 0.2, λ₃ = 0.3) | 58 10 68 9.1s C = MOCopula{Float64}(λ₁ = 0.5, λ₂ = 0.5, λ₃ = 0.5) | 58 10 68 0.0s C = MOCopula{Float64}(λ₁ = 0.5960710257852946, λ₂ = 0.3313524247810329, λ₃ = 0.09653466861970061) | 58 10 68 0.0s C = MOCopula{Float64}(λ₁ = 1.0, λ₂ = 1.0, λ₃ = 1.0) | 58 10 68 0.0s C = MOCopula{Float64}(λ₁ = 0.1, λ₂ = 0.5, λ₃ = 0.9) | 58 10 68 0.0s C = PlackettCopula{Float64}(θ=0.5) | 84 5 89 18.2s C = PlackettCopula{Float64}(θ=0.8) | 84 5 89 0.1s C = PlackettCopula{Float64}(θ=2.0) | 84 5 89 0.3s C = RafteryCopula{2, Float64}(θ=0.2) | 57 6 63 12.7s C = RafteryCopula{3, Float64}(θ=0.5) | 54 5 59 16.9s C = SurvivalCopula(ClaytonCopula{2, Float64}(θ = -0.7,)) | 84 5 89 10.5s C = SurvivalCopula(RafteryCopula{2, Float64}(θ=0.2)) | 84 5 89 12.4s C = TCopula{2, 2, Matrix{Float64}}(Σ = [1.0 0.7; 0.7 1.0])) | 60 5 65 1m13.4s C = TCopula{2, 20, Matrix{Float64}}(Σ = [1.0 -0.5; -0.5 1.0])) | 60 5 65 1m06.9s C = TCopula{2, 4, Matrix{Float64}}(Σ = [1.0 0.5; 0.5 1.0])) | 60 5 65 1m03.2s C = tEVCopula{Float64}(ν = 2.0, ρ = 0.5) | 76 6 82 12.2s C = tEVCopula{Float64}(ν = 4.0, ρ = 0.5) | 76 6 82 0.1s C = tEVCopula{Float64}(ν = 7.0, ρ = -0.33000000000000007) | 76 6 82 0.1s C = tEVCopula{Float64}(ν = 5.0, ρ = -0.5) | 76 6 82 0.0s C = tEVCopula{Float64}(ν = 5.466564460573727, ρ = -0.6566645244416698) | 76 6 82 0.0s C = WCopula() | 56 8 64 4.6s C = ArchimedeanCopula(2, EmpiricalGenerator(4, 38)) | 66 11 77 7.0s C = ArchimedeanCopula(3, EmpiricalGenerator(3, 62)) | 62 12 74 11.0s C = BernsteinCopula(2, m=(10, 10)) | 49 8 57 0.2s C = BetaCopula{d}(2, 50) | 49 8 57 7.0s C = BetaCopula{d}(3, 50) | 45 8 53 6.3s C = CheckerboardCopula{2} ⟨m=[50, 50]⟩ | 53 7 60 7.7s C = CheckerboardCopula{3} ⟨m=[50, 50, 50]⟩ | 49 7 56 13.1s C = CheckerboardCopula{4} ⟨m=[50, 50, 50, 50]⟩ | 61 7 68 16.7s C = EmpiricalCopula{d}(2, 50) | 25 11 36 4.8s C = EmpiricalCopula{d}(2, 50) | 25 11 36 0.0s C = ExtremeValueCopula{2} ⟨EmpiricalEVTail(401 knots)⟩ | 97 8 105 10.1s C = ExtremeValueCopula{2} ⟨EmpiricalEVTail(401 knots)⟩ | 97 8 105 0.0s C = ExtremeValueCopula{2} ⟨EmpiricalEVTail(401 knots)⟩ | 97 8 105 0.0s Testing Copulas tests passed Testing completed after 2085.28s PkgEval succeeded after 2170.1s