Package: Surrogate
Check: tests
New result: ERROR
    Running ‘testthat.R’ [120s/126s]
  Running the tests in ‘tests/testthat.R’ failed.
  Complete output:
    > # This file is part of the standard setup for testthat.
    > # It is recommended that you do not modify it.
    > #
    > # Where should you do additional test configuration?
    > # Learn more about the roles of various files in:
    > # * https://r-pkgs.org/testing-design.html#sec-tests-files-overview
    > # * https://testthat.r-lib.org/articles/special-files.html
    > 
    > library(testthat)
    > library(Surrogate)
    > 
    > test_check("Surrogate")
    Loading required namespace: cubature
    Loading required namespace: FNN
    Loading required namespace: parallel
    [1] "Starting parallel simulations"
    [1] "Finishing parallel simulations"
    Loading required namespace: copula
    Loading required namespace: fitdistrplus
    Loading required namespace: stringr
    [ FAIL 19 | WARN 0 | SKIP 9 | PASS 28 ]
    
    ══ Skipped tests (9) ═══════════════════════════════════════════════════════════
    • On CRAN (9): 'test-MetaAnalyticSurvBin.R:3:13',
      'test-MetaAnalyticSurvCat.R:3:13', 'test-MetaAnalyticSurvCont.R:3:13',
      'test-MetaAnalyticSurvSurv.R:3:13', 'test-fit_model_SurvSurv.R:37:13',
      'test-fit_model_SurvSurv.R:58:13', 'test-goodness_of_fit_SurvSurv.R:19:13',
      'test-sensitivity_analysis_SurvSurv.R:44:3',
      'test-sensitivity_intervals.R:94:3'
    
    ══ Failed tests ════════════════════════════════════════════════════════════════
    ── Failure ('test-ICA_BinCont_copula.R:9:3'): sample_dvine() works with clayton copula ──
    `output_values` (`actual`) not equal to `expected_values` (`expected`).
    
      `actual`: 0.99131 0.47209 0.65521 0.98636
    `expected`: 0.99153 0.02533 0.52019 0.06634
    ── Failure ('test-ICA_BinCont_copula.R:35:3'): sample_deltas_BinCont() works with clayton copula ──
    `output_values` (`actual`) not equal to `expected_values` (`expected`).
    
      `actual`: 1.76 0.35 1.00 0.00
    `expected`: 1.20 1.00 0.00 0.00
    ── Failure ('test-ICA_BinCont_copula.R:63:3'): estimate_ICA_BinCont() works in a sample example ──
    `output_values` (`actual`) not equal to `expected_values` (`expected`).
    
      `actual`: 1.76 0.35 1.00 0.00
    `expected`: 1.20 1.00 0.00 0.00
    ── Failure ('test-ICA_BinCont_copula.R:91:3'): compute_ICA_BinCont() works in a sample example ──
    `output_values` (`actual`) not equal to `expected_values` (`expected`).
    
      `actual`: 0.2638 -0.5661 0.3336 0.7359
    `expected`: 0.2505 -0.5384 0.3952 0.7446
    ── Failure ('test-ICA_SurvSurv_copula.R:29:3'): compute_ICA_SurvSurv works ─────
    `output_vector` (`actual`) not equal to `check_vector` (`expected`).
    
      `actual`: 0.3354 0.4093 0.8920 0.8380
    `expected`: 0.3299 0.3859 0.8902 0.8350
    ── Failure ('test-ICA_SurvSurv_copula.R:60:3'): compute_ICA_SurvSurv works for different unidentifiable copulas ──
    `output_vector` (`actual`) not equal to `check_vector` (`expected`).
    
      `actual`: 0.4237 0.2766 0.6657 0.5154
    `expected`: 0.4410 0.3103 0.6764 0.5115
    ── Failure ('test-ITCI-Dvine-inference-utils.R:16:3'): Delta method based on numerical derivatives works ──
    `estimated_variance` (`actual`) not equal to matrix(0.309301300833, nrow = 1, ncol = 1) (`expected`).
    
    actual vs expected
                         [,1]
    - actual[1, ]   0.6785348
    + expected[1, ] 0.3093013
    ── Failure ('test-ITCI-Dvine-inference-utils.R:49:3'): Resampling method for the ICA based on fitted model summary information works ──
    c(mean_ICA, sd_ICA) (`actual`) not equal to c(0.99096747638744, 0.00145160206983) (`expected`).
    
      `actual`: 0.991708 0.001429
    `expected`: 0.990967 0.001452
    ── Failure ('test-ITCI-Dvine-inference-utils.R:50:3'): Resampling method for the ICA based on fitted model summary information works ──
    c(mean_ICA_p, sd_ICA_p) (`actual`) not equal to c(0.99096747638744, 0.00145160206983) (`expected`).
    
      `actual`: 0.991708 0.001429
    `expected`: 0.990967 0.001452
    ── Failure ('test-sensitivity_analysis_BinCont_copula.R:14:13'): sensitivity_analysis_BinCont_copula() works in a simplified setting ──
    sens_results[, 1] (`actual`) not equal to c(0.407801974151, 0.311636096417) (`expected`).
    
      `actual`: 0.3917 0.3080
    `expected`: 0.4078 0.3116
    ── Failure ('test-sensitivity_analysis_BinCont_copula.R:35:13'): sensitivity_analysis_BinCont_copula() works in a simplified setting with limits in the sensitivity analysis ──
    sens_results[, 1] (`actual`) not equal to c(0.381826406323, 0.301121119697) (`expected`).
    
      `actual`: 0.392 0.291
    `expected`: 0.382 0.301
    ── Failure ('test-sensitivity_analysis_SurvSurv.R:18:3'): sensitivity_analysis_SurvSurv_copula() works on a single core with Clayton copula ──
    `output_vector` (`actual`) not equal to `check_vector` (`expected`).
    
      `actual`: 0.991904525 0.995780207 1.374917943
    `expected`: 0.988990899 0.993308293 1.374917943
    ── Failure ('test-sensitivity_analysis_SurvSurv.R:38:3'): sensitivity_analysis_SurvSurv_copula() works with variable number of knots ──
    `output_vector` (`actual`) not equal to `check_vector` (`expected`).
    
      `actual`: 0.975790156 0.970569834 1.374917943
    `expected`: 0.979074242 0.971166765 1.374917943
    ── Failure ('test-sensitivity_analysis_SurvSurv.R:80:3'): sensitivity_analysis_SurvSurv_copula() works on a single core with variable copula ──
    `output_vector` (`actual`) not equal to `check_vector` (`expected`).
    
      `actual`: 0.970608529 0.964266929 1.374917943
    `expected`: 0.973975832 0.972747027 1.374917943
    ── Failure ('test-sensitivity_analysis_SurvSurv.R:117:3'): sensitivity_analysis_SurvSurv_copula() works on a single core with Clayton copula and four different unidentifiable copulas ──
    c(sens_results$ICA[1], sens_results$sp_rho[1], sens_results$c23[1]) (`actual`) not equal to c(0.996814266963, 0.995511262378, 0.436161760666) (`expected`).
    
      `actual`: 0.997023687 0.995343606 0.436161761
    `expected`: 0.996814267 0.995511262 0.436161761
    ── Failure ('test-sensitivity_analysis_SurvSurv.R:151:3'): sensitivity_analysis_SurvSurv_copula() wth restricted survival times and Spearman's rho as ICA ──
    `output_vector` (`actual`) not equal to `check_vector` (`expected`).
    
      `actual`: 0.822232 0.996771 1.682037
    `expected`: 0.822136 0.995515 1.682037
    ── Failure ('test-sensitivity_intervals.R:45:3'): Intervals of ignorance and uncertainty are correctly computed ──
    c(...) (`actual`) not equal to c(...) (`expected`).
    
        actual      | expected       
    [1] 0.835910421 | 0.835910421 [1]
    [2] 0.997707840 | 0.997707840 [2]
    [3] 0.771344327 - 0.748958557 [3]
    [4] 0.996707340 - 0.997291086 [4]
    [5] 0.777426823 - 0.754652671 [5]
    [6] 0.996552084 - 0.997185131 [6]
    ── Failure ('test-sensitivity_intervals.R:60:3'): Intervals of ignorance and uncertainty are correctly computed ──
    c(...) (`actual`) not equal to c(...) (`expected`).
    
        actual      | expected       
    [1] 0.642646510 | 0.642646510 [1]
    [2] 0.991589288 | 0.991589288 [2]
    [3] 0.562796108 - 0.504365537 [3]
    [4] 0.989819380 - 0.991103511 [4]
    [5] 0.564156839 - 0.521834842 [5]
    [6] 0.989592088 - 0.990989206 [6]
    ── Failure ('test-sensitivity_intervals.R:75:3'): Intervals of ignorance and uncertainty are correctly computed ──
    c(...) (`actual`) not equal to c(...) (`expected`).
    
        actual      | expected       
    [1] 0.751294689 | 0.751294689 [1]
    [2] 0.820984966 | 0.820984966 [2]
    [3] 0.727620865 - 0.711347431 [3]
    [4] 0.820958783 - 0.820793874 [4]
    [5] 0.728769400 - 0.712601776 [5]
    [6] 0.820940724 - 0.820715995 [6]
    
    [ FAIL 19 | WARN 0 | SKIP 9 | PASS 28 ]
    Deleting unused snapshots:
    • goodness_of_fit_SurvSurv/marginal-survival-functions-gof.svg
    • goodness_of_fit_SurvSurv/prob-of-dying-wo-progression-gof.svg
    Error: Test failures
    Execution halted

Package: svines
Check: tests
New result: ERROR
    Running ‘testthat.R’ [4s/4s]
  Running the tests in ‘tests/testthat.R’ failed.
  Complete output:
    > library(testthat)
    > library(svines)
    Loading required package: rvinecopulib
    > 
    > test_check("svines")
    ** Tree: 0
    1,2 <-> Bivariate copula: 
      family = Joe
      rotation = 90
      var_types = c,c
      parameters = 1.2
    
    ** Tree: 0
    1,2 <-> Bivariate copula: 
      family = Joe
      rotation = 90
      var_types = c,c
      parameters = 1.2
    
    2,3 <-> Bivariate copula: 
      family = Joe
      rotation = 90
      var_types = c,c
      parameters = 1.2
    
    ** Tree: 1
    1,3 | 2 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    ** Tree: 0
    1,2 <-> Bivariate copula: 
      family = Joe
      rotation = 90
      var_types = c,c
      parameters = 1.2
    
    2,3 <-> Bivariate copula: 
      family = Joe
      rotation = 90
      var_types = c,c
      parameters = 1.2
    
    3,4 <-> Bivariate copula: 
      family = Joe
      rotation = 90
      var_types = c,c
      parameters = 1.2
    
    ** Tree: 1
    1,3 | 2 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    2,4 | 3 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    ** Tree: 2
    1,4 | 2,3 <-> Bivariate copula: 
      family = Frank
      rotation = 0
      var_types = c,c
      parameters = -1
    
    ** Tree: 0
    2,1 <-> Bivariate copula: 
      family = Joe
      rotation = 180
      var_types = c,c
      parameters = 3.3
    
    ** Tree: 0
    2,1 <-> Bivariate copula: 
      family = Joe
      rotation = 180
      var_types = c,c
      parameters = 3.3
    
    ** Tree: 0
    2,1 <-> Bivariate copula: 
      family = Joe
      rotation = 180
      var_types = c,c
      parameters = 3.3
    
    2,4 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    4,3 <-> Bivariate copula: 
      family = Joe
      rotation = 180
      var_types = c,c
      parameters = 3.3
    
    ** Tree: 1
    1,4 | 2 <-> Bivariate copula: 
      family = Gumbel
      rotation = 0
      var_types = c,c
      parameters = 1.2
    
    2,3 | 4 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    ** Tree: 2
    1,3 | 2,4 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    ** Tree: 0
    2,1 <-> Bivariate copula: 
      family = Joe
      rotation = 180
      var_types = c,c
      parameters = 3.3
    
    2,4 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    4,3 <-> Bivariate copula: 
      family = Joe
      rotation = 180
      var_types = c,c
      parameters = 3.3
    
    4,6 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    6,5 <-> Bivariate copula: 
      family = Joe
      rotation = 180
      var_types = c,c
      parameters = 3.3
    
    ** Tree: 1
    1,4 | 2 <-> Bivariate copula: 
      family = Gumbel
      rotation = 0
      var_types = c,c
      parameters = 1.2
    
    2,3 | 4 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    3,6 | 4 <-> Bivariate copula: 
      family = Gumbel
      rotation = 0
      var_types = c,c
      parameters = 1.2
    
    4,5 | 6 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    ** Tree: 2
    1,3 | 2,4 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    2,6 | 3,4 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    3,5 | 4,6 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    ** Tree: 3
    1,6 | 2,3,4 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    2,5 | 3,4,6 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    ** Tree: 4
    1,5 | 2,3,4,6 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    ** Tree: 0
    2,1 <-> Bivariate copula: 
      family = Joe
      rotation = 180
      var_types = c,c
      parameters = 3.3
    
    2,4 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    4,3 <-> Bivariate copula: 
      family = Joe
      rotation = 180
      var_types = c,c
      parameters = 3.3
    
    4,6 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    6,5 <-> Bivariate copula: 
      family = Joe
      rotation = 180
      var_types = c,c
      parameters = 3.3
    
    6,8 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    8,7 <-> Bivariate copula: 
      family = Joe
      rotation = 180
      var_types = c,c
      parameters = 3.3
    
    ** Tree: 1
    1,4 | 2 <-> Bivariate copula: 
      family = Gumbel
      rotation = 0
      var_types = c,c
      parameters = 1.2
    
    2,3 | 4 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    3,6 | 4 <-> Bivariate copula: 
      family = Gumbel
      rotation = 0
      var_types = c,c
      parameters = 1.2
    
    4,5 | 6 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    5,8 | 6 <-> Bivariate copula: 
      family = Gumbel
      rotation = 0
      var_types = c,c
      parameters = 1.2
    
    6,7 | 8 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    ** Tree: 2
    1,3 | 2,4 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    2,6 | 3,4 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    3,5 | 4,6 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    4,8 | 5,6 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    5,7 | 6,8 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    ** Tree: 3
    1,6 | 2,3,4 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    2,5 | 3,4,6 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    3,8 | 4,5,6 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    4,7 | 5,6,8 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    ** Tree: 4
    1,5 | 2,3,4,6 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    2,8 | 3,4,5,6 <-> Bivariate copula: 
      family = Joe
      rotation = 90
      var_types = c,c
      parameters = 1.2
    
    3,7 | 4,5,6,8 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    ** Tree: 5
    1,8 | 2,3,4,5,6 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    2,7 | 3,4,5,6,8 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    ** Tree: 6
    1,7 | 2,3,4,5,6,8 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    ** Tree: 0
    1,2 <-> Bivariate copula: 
      family = Joe
      rotation = 180
      var_types = c,c
      parameters = 3.3
    
    ** Tree: 0
    3,4 <-> Bivariate copula: 
      family = Joe
      rotation = 180
      var_types = c,c
      parameters = 3.3
    
    4,2 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    1,2 <-> Bivariate copula: 
      family = Joe
      rotation = 180
      var_types = c,c
      parameters = 3.3
    
    ** Tree: 1
    3,2 | 4 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    4,1 | 2 <-> Bivariate copula: 
      family = Gumbel
      rotation = 0
      var_types = c,c
      parameters = 1.2
    
    ** Tree: 2
    3,1 | 2,4 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    ** Tree: 0
    5,6 <-> Bivariate copula: 
      family = Joe
      rotation = 180
      var_types = c,c
      parameters = 3.3
    
    6,4 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    3,4 <-> Bivariate copula: 
      family = Joe
      rotation = 180
      var_types = c,c
      parameters = 3.3
    
    4,2 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    1,2 <-> Bivariate copula: 
      family = Joe
      rotation = 180
      var_types = c,c
      parameters = 3.3
    
    ** Tree: 1
    5,4 | 6 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    6,3 | 4 <-> Bivariate copula: 
      family = Gumbel
      rotation = 0
      var_types = c,c
      parameters = 1.2
    
    3,2 | 4 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    4,1 | 2 <-> Bivariate copula: 
      family = Gumbel
      rotation = 0
      var_types = c,c
      parameters = 1.2
    
    ** Tree: 2
    5,3 | 4,6 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    6,2 | 3,4 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    3,1 | 2,4 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    ** Tree: 3
    5,2 | 3,4,6 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    6,1 | 2,3,4 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    ** Tree: 4
    5,1 | 2,3,4,6 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    ** Tree: 0
    7,8 <-> Bivariate copula: 
      family = Joe
      rotation = 180
      var_types = c,c
      parameters = 3.3
    
    8,6 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    5,6 <-> Bivariate copula: 
      family = Joe
      rotation = 180
      var_types = c,c
      parameters = 3.3
    
    6,4 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    3,4 <-> Bivariate copula: 
      family = Joe
      rotation = 180
      var_types = c,c
      parameters = 3.3
    
    4,2 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    1,2 <-> Bivariate copula: 
      family = Joe
      rotation = 180
      var_types = c,c
      parameters = 3.3
    
    ** Tree: 1
    7,6 | 8 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    8,5 | 6 <-> Bivariate copula: 
      family = Gumbel
      rotation = 0
      var_types = c,c
      parameters = 1.2
    
    5,4 | 6 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    6,3 | 4 <-> Bivariate copula: 
      family = Gumbel
      rotation = 0
      var_types = c,c
      parameters = 1.2
    
    3,2 | 4 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    4,1 | 2 <-> Bivariate copula: 
      family = Gumbel
      rotation = 0
      var_types = c,c
      parameters = 1.2
    
    ** Tree: 2
    7,5 | 6,8 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    8,4 | 5,6 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    5,3 | 4,6 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    6,2 | 3,4 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    3,1 | 2,4 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    ** Tree: 3
    7,4 | 5,6,8 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    8,3 | 4,5,6 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    5,2 | 3,4,6 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    6,1 | 2,3,4 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    ** Tree: 4
    7,3 | 4,5,6,8 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    8,2 | 3,4,5,6 <-> Bivariate copula: 
      family = Joe
      rotation = 270
      var_types = c,c
      parameters = 1.2
    
    5,1 | 2,3,4,6 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    ** Tree: 5
    7,2 | 3,4,5,6,8 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    8,1 | 2,3,4,5,6 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    ** Tree: 6
    7,1 | 2,3,4,5,6,8 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    ** Tree: 0
    2,1 <-> Bivariate copula: 
      family = Joe
      rotation = 180
      var_types = c,c
      parameters = 3.8
    
    ** Tree: 0
    2,1 <-> Bivariate copula: 
      family = Joe
      rotation = 180
      var_types = c,c
      parameters = 4.3
    
    ** Tree: 0
    2,1 <-> Bivariate copula: 
      family = Joe
      rotation = 180
      var_types = c,c
      parameters = 3.1
    
    ** Tree: 0
    1,2 <-> Bivariate copula: 
      family = Student
      rotation = 0
      var_types = c,c
      parameters = 0.041
        3
    
    ** Tree: 0
    1,2 <-> Bivariate copula: 
      family = Student
      rotation = 0
      var_types = c,c
      parameters = 0.041
        3
    
    2,3 <-> Bivariate copula: 
      family = Student
      rotation = 0
      var_types = c,c
      parameters = 0.041
        3
    
    ** Tree: 1
    1,3 | 2 <-> Bivariate copula: 
      family = Joe
      rotation = 180
      var_types = c,c
      parameters = 1.2
    
    ** Tree: 0
    1,2 <-> Bivariate copula: 
      family = Student
      rotation = 0
      var_types = c,c
      parameters = 0.041
        3
    
    2,3 <-> Bivariate copula: 
      family = Student
      rotation = 0
      var_types = c,c
      parameters = 0.041
        3
    
    3,4 <-> Bivariate copula: 
      family = Student
      rotation = 0
      var_types = c,c
      parameters = 0.041
        3
    
    ** Tree: 1
    1,3 | 2 <-> Bivariate copula: 
      family = Joe
      rotation = 180
      var_types = c,c
      parameters = 1.2
    
    2,4 | 3 <-> Bivariate copula: 
      family = Joe
      rotation = 180
      var_types = c,c
      parameters = 1.2
    
    ** Tree: 2
    1,4 | 2,3 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    ** Tree: 0
    2,1 <-> Bivariate copula: 
      family = Joe
      rotation = 180
      var_types = c,c
      parameters = 3.6
    
    ** Tree: 0
    2,1 <-> Bivariate copula: 
      family = Joe
      rotation = 180
      var_types = c,c
      parameters = 3.6
    
    ** Tree: 0
    2,1 <-> Bivariate copula: 
      family = Joe
      rotation = 180
      var_types = c,c
      parameters = 3.6
    
    2,3 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    4,3 <-> Bivariate copula: 
      family = Joe
      rotation = 180
      var_types = c,c
      parameters = 3.6
    
    ** Tree: 1
    1,3 | 2 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    2,4 | 3 <-> Bivariate copula: 
      family = BB6
      rotation = 180
      var_types = c,c
      parameters = 1.5
      1
    
    ** Tree: 2
    1,4 | 2,3 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    ** Tree: 0
    2,1 <-> Bivariate copula: 
      family = Joe
      rotation = 180
      var_types = c,c
      parameters = 3.6
    
    2,3 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    4,3 <-> Bivariate copula: 
      family = Joe
      rotation = 180
      var_types = c,c
      parameters = 3.6
    
    4,5 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    6,5 <-> Bivariate copula: 
      family = Joe
      rotation = 180
      var_types = c,c
      parameters = 3.6
    
    ** Tree: 1
    1,3 | 2 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    2,4 | 3 <-> Bivariate copula: 
      family = BB6
      rotation = 180
      var_types = c,c
      parameters = 1.5
      1
    
    3,5 | 4 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    4,6 | 5 <-> Bivariate copula: 
      family = BB6
      rotation = 180
      var_types = c,c
      parameters = 1.5
      1
    
    ** Tree: 2
    1,4 | 2,3 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    2,5 | 3,4 <-> Bivariate copula: 
      family = Clayton
      rotation = 0
      var_types = c,c
      parameters = 0.43
    
    3,6 | 4,5 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    ** Tree: 3
    1,5 | 2,3,4 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    2,6 | 3,4,5 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    ** Tree: 4
    1,6 | 2,3,4,5 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    ** Tree: 0
    2,1 <-> Bivariate copula: 
      family = Joe
      rotation = 180
      var_types = c,c
      parameters = 3.6
    
    2,3 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    4,3 <-> Bivariate copula: 
      family = Joe
      rotation = 180
      var_types = c,c
      parameters = 3.6
    
    4,5 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    6,5 <-> Bivariate copula: 
      family = Joe
      rotation = 180
      var_types = c,c
      parameters = 3.6
    
    6,7 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    8,7 <-> Bivariate copula: 
      family = Joe
      rotation = 180
      var_types = c,c
      parameters = 3.6
    
    ** Tree: 1
    1,3 | 2 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    2,4 | 3 <-> Bivariate copula: 
      family = BB6
      rotation = 180
      var_types = c,c
      parameters = 1.5
      1
    
    3,5 | 4 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    4,6 | 5 <-> Bivariate copula: 
      family = BB6
      rotation = 180
      var_types = c,c
      parameters = 1.5
      1
    
    5,7 | 6 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    6,8 | 7 <-> Bivariate copula: 
      family = BB6
      rotation = 180
      var_types = c,c
      parameters = 1.5
      1
    
    ** Tree: 2
    1,4 | 2,3 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    2,5 | 3,4 <-> Bivariate copula: 
      family = Clayton
      rotation = 0
      var_types = c,c
      parameters = 0.43
    
    3,6 | 4,5 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    4,7 | 5,6 <-> Bivariate copula: 
      family = Clayton
      rotation = 0
      var_types = c,c
      parameters = 0.43
    
    5,8 | 6,7 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    ** Tree: 3
    1,5 | 2,3,4 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    2,6 | 3,4,5 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    3,7 | 4,5,6 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    4,8 | 5,6,7 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    ** Tree: 4
    1,6 | 2,3,4,5 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    2,7 | 3,4,5,6 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    3,8 | 4,5,6,7 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    ** Tree: 5
    1,7 | 2,3,4,5,6 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    2,8 | 3,4,5,6,7 <-> Bivariate copula: 
      family = Tawn
      rotation = 180
      var_types = c,c
      parameters = 0.5
    0.3
      7
    
    ** Tree: 6
    1,8 | 2,3,4,5,6,7 <-> Bivariate copula: 
      family = Frank
      rotation = 0
      var_types = c,c
      parameters = 1.9
    
    ** Tree: 0
    2,1 <-> Bivariate copula: 
      family = Joe
      rotation = 180
      var_types = c,c
      parameters = 3.6
    
    ** Tree: 0
    4,3 <-> Bivariate copula: 
      family = Joe
      rotation = 180
      var_types = c,c
      parameters = 3.6
    
    3,2 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    2,1 <-> Bivariate copula: 
      family = Joe
      rotation = 180
      var_types = c,c
      parameters = 3.6
    
    ** Tree: 1
    4,2 | 3 <-> Bivariate copula: 
      family = BB6
      rotation = 180
      var_types = c,c
      parameters = 1.5
      1
    
    3,1 | 2 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    ** Tree: 2
    4,1 | 2,3 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    ** Tree: 0
    6,5 <-> Bivariate copula: 
      family = Joe
      rotation = 180
      var_types = c,c
      parameters = 3.6
    
    5,4 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    4,3 <-> Bivariate copula: 
      family = Joe
      rotation = 180
      var_types = c,c
      parameters = 3.6
    
    3,2 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    2,1 <-> Bivariate copula: 
      family = Joe
      rotation = 180
      var_types = c,c
      parameters = 3.6
    
    ** Tree: 1
    6,4 | 5 <-> Bivariate copula: 
      family = BB6
      rotation = 180
      var_types = c,c
      parameters = 1.5
      1
    
    5,3 | 4 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    4,2 | 3 <-> Bivariate copula: 
      family = BB6
      rotation = 180
      var_types = c,c
      parameters = 1.5
      1
    
    3,1 | 2 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    ** Tree: 2
    6,3 | 4,5 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    5,2 | 3,4 <-> Bivariate copula: 
      family = Clayton
      rotation = 0
      var_types = c,c
      parameters = 0.43
    
    4,1 | 2,3 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    ** Tree: 3
    6,2 | 3,4,5 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    5,1 | 2,3,4 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    ** Tree: 4
    6,1 | 2,3,4,5 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    ** Tree: 0
    8,7 <-> Bivariate copula: 
      family = Joe
      rotation = 180
      var_types = c,c
      parameters = 3.6
    
    7,6 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    6,5 <-> Bivariate copula: 
      family = Joe
      rotation = 180
      var_types = c,c
      parameters = 3.6
    
    5,4 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    4,3 <-> Bivariate copula: 
      family = Joe
      rotation = 180
      var_types = c,c
      parameters = 3.6
    
    3,2 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    2,1 <-> Bivariate copula: 
      family = Joe
      rotation = 180
      var_types = c,c
      parameters = 3.6
    
    ** Tree: 1
    8,6 | 7 <-> Bivariate copula: 
      family = BB6
      rotation = 180
      var_types = c,c
      parameters = 1.5
      1
    
    7,5 | 6 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    6,4 | 5 <-> Bivariate copula: 
      family = BB6
      rotation = 180
      var_types = c,c
      parameters = 1.5
      1
    
    5,3 | 4 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    4,2 | 3 <-> Bivariate copula: 
      family = BB6
      rotation = 180
      var_types = c,c
      parameters = 1.5
      1
    
    3,1 | 2 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    ** Tree: 2
    8,5 | 6,7 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    7,4 | 5,6 <-> Bivariate copula: 
      family = Clayton
      rotation = 0
      var_types = c,c
      parameters = 0.43
    
    6,3 | 4,5 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    5,2 | 3,4 <-> Bivariate copula: 
      family = Clayton
      rotation = 0
      var_types = c,c
      parameters = 0.43
    
    4,1 | 2,3 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    ** Tree: 3
    8,4 | 5,6,7 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    7,3 | 4,5,6 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    6,2 | 3,4,5 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    5,1 | 2,3,4 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    ** Tree: 4
    8,3 | 4,5,6,7 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    7,2 | 3,4,5,6 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    6,1 | 2,3,4,5 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    ** Tree: 5
    8,2 | 3,4,5,6,7 <-> Bivariate copula: 
      family = Tawn
      rotation = 180
      var_types = c,c
      parameters = 0.3
    0.5
      7
    
    7,1 | 2,3,4,5,6 <-> Bivariate copula: 
      family = Independence
      rotation = 0
      var_types = c,c
    
    ** Tree: 6
    8,1 | 2,3,4,5,6,7 <-> Bivariate copula: 
      family = Frank
      rotation = 0
      var_types = c,c
      parameters = 1.9
    
    [ FAIL 4 | WARN 0 | SKIP 0 | PASS 51 ]
    
    ══ Failed tests ════════════════════════════════════════════════════════════════
    ── Failure ('test-svine.R:102:3'): fitting models (multivariate) ───────────────
    `svine(x, p = 1, type = "D", margin_families = c("exp", "norm"))` produced output.
    ── Failure ('test-svine.R:103:3'): fitting models (multivariate) ───────────────
    `svine(x, p = 2, type = "M", margin_families = c("exp", "norm"))` produced output.
    ── Failure ('test-svinecop.R:92:3'): fitting models (multivariate) ─────────────
    `svinecop(u, p = 1, type = "D")` produced output.
    ── Failure ('test-svinecop.R:93:3'): fitting models (multivariate) ─────────────
    `svinecop(u, p = 2, type = "M")` produced output.
    
    [ FAIL 4 | WARN 0 | SKIP 0 | PASS 51 ]
    Error: Test failures
    Execution halted