R Under development (unstable) (2025-06-12 r88305 ucrt) -- "Unsuffered Consequences"
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Platform: x86_64-w64-mingw32/x64

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> # 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(shadowVIMP)
> 
> test_check("shadowVIMP")
alpha  0.3  
2025-06-13 13:46:37: dataframe = df niters = 10 num.trees = 10. Running step 1
Variables remaining:  11 
alpha  0.1  
2025-06-13 13:46:37: dataframe = df niters = 15 num.trees = 10. Running step 1
Variables remaining:  9 
alpha  0.05  
2025-06-13 13:46:37: dataframe = df niters = 20 num.trees = 10. Running step 1
Variables remaining:  8 
Selecting by median
alpha  0.3  
2025-06-13 13:46:39: dataframe = df niters = 10 num.trees = 5. Running step 1
Variables remaining:  5 
alpha  0.1  
2025-06-13 13:46:39: dataframe = df niters = 15 num.trees = 5. Running step 1
Variables remaining:  5 
alpha  0.05  
2025-06-13 13:46:39: dataframe = df niters = 20 num.trees = 5. Running step 1
Variables remaining:  5 
Selecting by median
alpha  0.3  
2025-06-13 13:46:40: dataframe = df niters = 10 num.trees = 5. Running step 1
Variables remaining:  2 
alpha  0.1  
2025-06-13 13:46:40: dataframe = df niters = 10 num.trees = 5. Running step 1
Variables remaining:  2 
alpha  0.05  
2025-06-13 13:46:40: dataframe = df niters = 10 num.trees = 5. Running step 1
Variables remaining:  1 
Selecting by median
alpha  0.3  
2025-06-13 13:46:40: dataframe = df niters = 5 num.trees = 10. Running step 1
Variables remaining:  9 
alpha  0.1  
2025-06-13 13:46:40: dataframe = df niters = 5 num.trees = 10. Running step 1
Variables remaining:  7 
alpha  0.05  
2025-06-13 13:46:40: dataframe = df niters = 5 num.trees = 10. Running step 1
Variables remaining:  6 
alpha  0.3  
2025-06-13 13:46:40: dataframe = df niters = 10 num.trees = 5. Running step 1
Variables remaining:  4 
alpha  0.1  
2025-06-13 13:46:41: dataframe = df niters = 10 num.trees = 5. Running step 1
Variables remaining:  3 
alpha  0.05  
2025-06-13 13:46:41: dataframe = df niters = 10 num.trees = 5. Running step 1
Variables remaining:  3 
alpha  0.3  
2025-06-13 13:46:41: dataframe = df niters = 10 num.trees = 5. Running step 1
Variables remaining:  5 
alpha  0.1  
2025-06-13 13:46:41: dataframe = df niters = 10 num.trees = 5. Running step 1
Variables remaining:  3 
alpha  0.05  
2025-06-13 13:46:41: dataframe = df niters = 10 num.trees = 5. Running step 1
Variables remaining:  2 
alpha  0.3  
2025-06-13 13:46:41: dataframe = df niters = 10 num.trees = 5. Running step 1
Variables remaining:  5 
alpha  0.1  
2025-06-13 13:46:41: dataframe = df niters = 10 num.trees = 5. Running step 1
Variables remaining:  4 
alpha  0.05  
2025-06-13 13:46:41: dataframe = df niters = 10 num.trees = 5. Running step 1
Variables remaining:  3 
alpha  0.3  
2025-06-13 13:46:41: dataframe = df_large niters = 10 num.trees = 100. Running step 1
Variables remaining:  50 
alpha  0.1  
2025-06-13 13:46:41: dataframe = df_large niters = 15 num.trees = 100. Running step 1
Variables remaining:  50 
alpha  0.05  
2025-06-13 13:46:42: dataframe = df_large niters = 20 num.trees = 100. Running step 1
Variables remaining:  50 
Selecting by median
alpha  0.3  
2025-06-13 13:46:42: dataframe = df_large niters = 10 num.trees = 100. Running step 1
Variables remaining:  50 
alpha  0.1  
2025-06-13 13:46:42: dataframe = df_large niters = 15 num.trees = 100. Running step 1
Variables remaining:  50 
alpha  0.05  
2025-06-13 13:46:42: dataframe = df_large niters = 20 num.trees = 100. Running step 1
Variables remaining:  50 
alpha  0.3  
2025-06-13 13:46:43: dataframe = df niters = 10 num.trees = 5. Running step 1
Variables remaining:  6 
alpha  0.1  
2025-06-13 13:46:43: dataframe = df niters = 15 num.trees = 5. Running step 1
Variables remaining:  3 
alpha  0.05  
2025-06-13 13:46:43: dataframe = df niters = 20 num.trees = 5. Running step 1
Variables remaining:  3 
Selecting by median
alpha  0.3  
2025-06-13 13:46:44: dataframe = df niters = 10 num.trees = 5. Running step 1
Variables remaining:  4 
alpha  0.1  
2025-06-13 13:46:44: dataframe = df niters = 10 num.trees = 5. Running step 1
Variables remaining:  2 
alpha  0.05  
2025-06-13 13:46:44: dataframe = df niters = 10 num.trees = 5. Running step 1
Variables remaining:  1 
alpha  0.3  
2025-06-13 13:46:44: dataframe = df niters = 10 num.trees = 10. Running step 1
Variables remaining:  11 
alpha  0.1  
2025-06-13 13:46:44: dataframe = df niters = 10 num.trees = 10. Running step 1
Variables remaining:  10 
alpha  0.05  
2025-06-13 13:46:44: dataframe = df niters = 10 num.trees = 10. Running step 1
Variables remaining:  9 
alpha  0.3  
2025-06-13 13:46:44: dataframe = df niters = 10 num.trees = 5. Running step 1
Variables remaining:  7 
alpha  0.3  
2025-06-13 13:46:44: dataframe = df niters = 10 num.trees = 5. Running step 1
Variables remaining:  3 
alpha  0.1  
2025-06-13 13:46:45: dataframe = df niters = 20 num.trees = 5. Running step 1
Variables remaining:  2 
alpha  0.3  
2025-06-13 13:46:45: dataframe = df niters = 10 num.trees = 5. Running step 1
Variables remaining:  6 
alpha  0.3  
2025-06-13 13:46:45: dataframe = df niters = 10 num.trees = 10. Running step 1
Variables remaining:  13 
alpha  0.1  
2025-06-13 13:46:45: dataframe = df niters = 10 num.trees = 10. Running step 1
Variables remaining:  10 
alpha  0.3  
2025-06-13 13:46:45: dataframe = df niters = 10 num.trees = 5. Running step 1
Variables remaining:  3 
alpha  0.1  
2025-06-13 13:46:45: dataframe = df niters = 10 num.trees = 5. Running step 1
Variables remaining:  1 
alpha  0.05  
2025-06-13 13:46:45: dataframe = df niters = 10 num.trees = 5. Running step 1
Variables remaining:  0 
alpha  0.3  
2025-06-13 13:46:45: dataframe = df niters = 10 num.trees = 5. Running step 1
Variables remaining:  5 
alpha  0.1  
2025-06-13 13:46:45: dataframe = df niters = 10 num.trees = 5. Running step 1
Variables remaining:  3 
alpha  0.05  
2025-06-13 13:46:45: dataframe = df niters = 10 num.trees = 5. Running step 1
Variables remaining:  2 
alpha  0.3  
2025-06-13 13:46:45: dataframe = df niters = 10 num.trees = 5. Running step 1
Variables remaining:  3 
alpha  0.1  
2025-06-13 13:46:46: dataframe = df niters = 10 num.trees = 5. Running step 1
Variables remaining:  2 
alpha  0.05  
2025-06-13 13:46:46: dataframe = df niters = 10 num.trees = 5. Running step 1
Variables remaining:  2 
alpha  0.3  
2025-06-13 13:46:46: dataframe = df niters = 10 num.trees = 5. Running step 1
Variables remaining:  4 
alpha  0.1  
2025-06-13 13:46:46: dataframe = df niters = 10 num.trees = 5. Running step 1
Variables remaining:  3 
alpha  0.05  
2025-06-13 13:46:46: dataframe = df niters = 10 num.trees = 5. Running step 1
Variables remaining:  3 
alpha  0.3  
2025-06-13 13:46:46: dataframe = df niters = 10 num.trees = 5. Running step 1
Variables remaining:  6 
alpha  0.1  
2025-06-13 13:46:46: dataframe = df niters = 10 num.trees = 5. Running step 1
Variables remaining:  4 
alpha  0.05  
2025-06-13 13:46:46: dataframe = df niters = 10 num.trees = 5. Running step 1
Variables remaining:  3 
alpha  0.3  
2025-06-13 13:46:46: dataframe = nonsense_df niters = 10 num.trees = 5. Running step 1
Variables remaining:  0 
alpha  0.1  
alpha  0.05  
alpha  0.3  
2025-06-13 13:46:46: dataframe = df_const niters = 10 num.trees = 5. Running step 1
Variables remaining:  3 
alpha  0.1  
2025-06-13 13:46:46: dataframe = df_const niters = 15 num.trees = 5. Running step 1
Variables remaining:  1 
alpha  0.05  
2025-06-13 13:46:47: dataframe = df_const niters = 20 num.trees = 5. Running step 1
Variables remaining:  1 
alpha  0.3  
2025-06-13 13:46:47: dataframe = df niters = 3 num.trees = 10. Running step 1
Variables remaining:  6 
alpha  0.1  
2025-06-13 13:46:47: dataframe = df niters = 9 num.trees = 10. Running step 1
Variables remaining:  6 
alpha  0.05  
2025-06-13 13:46:47: dataframe = df niters = 10 num.trees = 10. Running step 1
Variables remaining:  6 
alpha  0.3  
2025-06-13 13:46:47: dataframe = df niters = 5 num.trees = 10. Running step 1
Variables remaining:  8 
alpha  0.1  
2025-06-13 13:46:47: dataframe = df niters = 9 num.trees = 10. Running step 1
Variables remaining:  7 
alpha  0.05  
2025-06-13 13:46:47: dataframe = df niters = 12 num.trees = 10. Running step 1
Variables remaining:  6 
alpha  0.3  
2025-06-13 13:46:47: dataframe = df niters = 5 num.trees = 10. Running step 1
Variables remaining:  8 
alpha  0.1  
2025-06-13 13:46:47: dataframe = df niters = 40 num.trees = 10. Running step 1
Variables remaining:  7 
alpha  0.05  
2025-06-13 13:46:47: dataframe = df niters = 12 num.trees = 10. Running step 1
Variables remaining:  7 
alpha  0.3  
2025-06-13 13:46:47: dataframe = df niters = 3 num.trees = 50. Running step 1
Variables remaining:  11 
alpha  0.1  
2025-06-13 13:46:47: dataframe = df niters = 9 num.trees = 50. Running step 1
Variables remaining:  10 
alpha  0.05  
2025-06-13 13:46:48: dataframe = df niters = 10 num.trees = 50. Running step 1
Variables remaining:  9 
alpha  0.3  
2025-06-13 13:46:48: dataframe = df niters = 70 num.trees = 50. Running step 1
2025-06-13 13:46:48: dataframe = df niters = 70 num.trees = 50. Running step 50
Variables remaining:  13 
alpha  0.1  
2025-06-13 13:46:48: dataframe = df niters = 10 num.trees = 50. Running step 1
Variables remaining:  10 
alpha  0.05  
2025-06-13 13:46:48: dataframe = df niters = 15 num.trees = 50. Running step 1
Variables remaining:  10 
alpha  0.3  
2025-06-13 13:46:48: dataframe = df niters = 70 num.trees = 50. Running step 1
2025-06-13 13:46:48: dataframe = df niters = 70 num.trees = 50. Running step 50
Variables remaining:  14 
alpha  0.1  
2025-06-13 13:46:49: dataframe = df niters = 205 num.trees = 50. Running step 1
2025-06-13 13:46:49: dataframe = df niters = 205 num.trees = 50. Running step 50
2025-06-13 13:46:49: dataframe = df niters = 205 num.trees = 50. Running step 100
2025-06-13 13:46:49: dataframe = df niters = 205 num.trees = 50. Running step 150
2025-06-13 13:46:49: dataframe = df niters = 205 num.trees = 50. Running step 200
Variables remaining:  11 
alpha  0.05  
2025-06-13 13:46:49: dataframe = df niters = 12 num.trees = 50. Running step 1
Variables remaining:  10 
2025-06-13 13:46:50: dataframe = df1 niters = 10 num.trees = 10. Running step 1
2025-06-13 13:46:50: dataframe = df niters = 1 num.trees = 5. Running step 1
 2025-06-13 13:46:50: dataframe = df niters = 2 num.trees = 5. Running step 1
 2025-06-13 13:46:50: dataframe = df niters = 3 num.trees = 5. Running step 1
[ FAIL 0 | WARN 0 | SKIP 1 | PASS 129 ]

══ Skipped tests (1) ═══════════════════════════════════════════════════════════
• On CRAN (1): 'test-vim_perm_sim.R:14:3'

[ FAIL 0 | WARN 0 | SKIP 1 | PASS 129 ]
> 
> proc.time()
   user  system elapsed 
  14.12    0.87   15.00