R Under development (unstable) (2025-06-04 r88278 ucrt) -- "Unsuffered Consequences"
Copyright (C) 2025 The R Foundation for Statistical Computing
Platform: x86_64-w64-mingw32/x64

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> # 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  
2025-06-05 12:36:40: dataframe = df niters = 10 num.trees = 10000. Running step 1
Variables remaining:  13 
alpha  0.1  
2025-06-05 12:36:44: dataframe = df niters = 15 num.trees = 10000. Running step 1
Variables remaining:  11 
alpha  0.05  
2025-06-05 12:36:49: dataframe = df niters = 20 num.trees = 10000. Running step 1
Variables remaining:  11 
Selecting by median
alpha  0.3  
2025-06-05 12:36:58: dataframe = df niters = 10 num.trees = 10000. Running step 1
Variables remaining:  12 
alpha  0.1  
2025-06-05 12:37:02: dataframe = df niters = 15 num.trees = 10000. Running step 1
Variables remaining:  11 
alpha  0.05  
2025-06-05 12:37:06: dataframe = df niters = 20 num.trees = 10000. Running step 1
Variables remaining:  11 
Selecting by median
alpha  0.3  
2025-06-05 12:37:13: dataframe = df niters = 10 num.trees = 10000. Running step 1
Variables remaining:  14 
alpha  0.1  
2025-06-05 12:37:17: dataframe = df niters = 15 num.trees = 10000. Running step 1
Variables remaining:  11 
alpha  0.05  
2025-06-05 12:37:22: dataframe = df niters = 20 num.trees = 10000. Running step 1
Variables remaining:  11 
Selecting by median
alpha  0.3  
2025-06-05 12:37:28: dataframe = df niters = 10 num.trees = 10000. Running step 1
Variables remaining:  13 
alpha  0.1  
2025-06-05 12:37:32: dataframe = df niters = 15 num.trees = 10000. Running step 1
Variables remaining:  12 
alpha  0.05  
2025-06-05 12:37:37: dataframe = df niters = 20 num.trees = 10000. Running step 1
Variables remaining:  11 
alpha  0.3  
2025-06-05 12:37:44: dataframe = df niters = 10 num.trees = 10000. Running step 1
Variables remaining:  12 
alpha  0.1  
2025-06-05 12:37:47: dataframe = df niters = 15 num.trees = 10000. Running step 1
Variables remaining:  11 
alpha  0.05  
2025-06-05 12:37:52: dataframe = df niters = 20 num.trees = 10000. Running step 1
Variables remaining:  11 
alpha  0.3  
2025-06-05 12:37:58: dataframe = df niters = 10 num.trees = 10000. Running step 1
Variables remaining:  14 
alpha  0.1  
2025-06-05 12:38:02: dataframe = df niters = 15 num.trees = 10000. Running step 1
Variables remaining:  11 
alpha  0.05  
2025-06-05 12:38:06: dataframe = df niters = 20 num.trees = 10000. Running step 1
Variables remaining:  11 
alpha  0.3  
2025-06-05 12:38:12: dataframe = df niters = 10 num.trees = 10000. Running step 1
Variables remaining:  12 
alpha  0.1  
2025-06-05 12:38:16: dataframe = df niters = 15 num.trees = 10000. Running step 1
Variables remaining:  11 
alpha  0.05  
2025-06-05 12:38:21: dataframe = df niters = 20 num.trees = 10000. Running step 1
Variables remaining:  11 
alpha  0.3  
2025-06-05 12:38:27: dataframe = df_large niters = 10 num.trees = 10000. Running step 1
Variables remaining:  50 
alpha  0.1  
2025-06-05 12:38:30: dataframe = df_large niters = 15 num.trees = 10000. Running step 1
Variables remaining:  50 
alpha  0.05  
2025-06-05 12:38:35: dataframe = df_large niters = 20 num.trees = 10000. Running step 1
Variables remaining:  50 
Selecting by median
alpha  0.3  
2025-06-05 12:38:42: dataframe = df_large niters = 10 num.trees = 10000. Running step 1
Variables remaining:  50 
alpha  0.1  
2025-06-05 12:38:46: dataframe = df_large niters = 15 num.trees = 10000. Running step 1
Variables remaining:  50 
alpha  0.05  
2025-06-05 12:38:51: dataframe = df_large niters = 20 num.trees = 10000. Running step 1
Variables remaining:  50 
alpha  0.3  
2025-06-05 12:38:59: dataframe = df niters = 10 num.trees = 10000. Running step 1
Variables remaining:  11 
alpha  0.1  
2025-06-05 12:39:03: dataframe = df niters = 15 num.trees = 10000. Running step 1
Variables remaining:  11 
alpha  0.05  
2025-06-05 12:39:07: dataframe = df niters = 20 num.trees = 10000. Running step 1
Variables remaining:  11 
Selecting by median
alpha  0.3  
2025-06-05 12:39:14: dataframe = df niters = 10 num.trees = 10000. Running step 1
Variables remaining:  13 
alpha  0.1  
2025-06-05 12:39:18: dataframe = df niters = 15 num.trees = 10000. Running step 1
Variables remaining:  11 
alpha  0.05  
2025-06-05 12:39:22: dataframe = df niters = 20 num.trees = 10000. Running step 1
Variables remaining:  11 
alpha  0.3  
2025-06-05 12:39:28: dataframe = df niters = 10 num.trees = 10000. Running step 1
Variables remaining:  11 
alpha  0.1  
2025-06-05 12:39:32: dataframe = df niters = 15 num.trees = 10000. Running step 1
Variables remaining:  11 
alpha  0.05  
2025-06-05 12:39:36: dataframe = df niters = 20 num.trees = 10000. Running step 1
Variables remaining:  11 
alpha  0.3  
2025-06-05 12:39:43: dataframe = df niters = 10 num.trees = 10000. Running step 1
Variables remaining:  11 
alpha  0.3  
2025-06-05 12:39:46: dataframe = df niters = 10 num.trees = 10000. Running step 1
Variables remaining:  14 
alpha  0.1  
2025-06-05 12:39:50: dataframe = df niters = 20 num.trees = 10000. Running step 1
Variables remaining:  11 
alpha  0.3  
2025-06-05 12:39:56: dataframe = df niters = 10 num.trees = 10000. Running step 1
Variables remaining:  14 
alpha  0.3  
2025-06-05 12:40:00: dataframe = df niters = 10 num.trees = 10000. Running step 1
Variables remaining:  13 
alpha  0.1  
2025-06-05 12:40:03: dataframe = df niters = 20 num.trees = 10000. Running step 1
Variables remaining:  11 
alpha  0.3  
2025-06-05 12:40:10: dataframe = df niters = 10 num.trees = 10000. Running step 1
Variables remaining:  13 
alpha  0.1  
2025-06-05 12:40:14: dataframe = df niters = 15 num.trees = 10000. Running step 1
Variables remaining:  11 
alpha  0.05  
2025-06-05 12:40:18: dataframe = df niters = 20 num.trees = 10000. Running step 1
Variables remaining:  11 
alpha  0.3  
2025-06-05 12:40:25: dataframe = df niters = 10 num.trees = 10000. Running step 1
Variables remaining:  12 
alpha  0.1  
2025-06-05 12:40:28: dataframe = df niters = 15 num.trees = 10000. Running step 1
Variables remaining:  12 
alpha  0.05  
2025-06-05 12:40:33: dataframe = df niters = 20 num.trees = 10000. Running step 1
Variables remaining:  11 
alpha  0.3  
2025-06-05 12:40:39: dataframe = df niters = 10 num.trees = 10000. Running step 1
Variables remaining:  12 
alpha  0.1  
2025-06-05 12:40:43: dataframe = df niters = 15 num.trees = 10000. Running step 1
Variables remaining:  11 
alpha  0.05  
2025-06-05 12:40:48: dataframe = df niters = 20 num.trees = 10000. Running step 1
Variables remaining:  11 
alpha  0.3  
2025-06-05 12:40:54: dataframe = df niters = 10 num.trees = 10000. Running step 1
Variables remaining:  13 
alpha  0.1  
2025-06-05 12:40:57: dataframe = df niters = 15 num.trees = 10000. Running step 1
Variables remaining:  11 
alpha  0.05  
2025-06-05 12:41:02: dataframe = df niters = 20 num.trees = 10000. Running step 1
Variables remaining:  11 
alpha  0.3  
2025-06-05 12:41:08: dataframe = df niters = 10 num.trees = 10000. Running step 1
Variables remaining:  13 
alpha  0.1  
2025-06-05 12:41:12: dataframe = df niters = 15 num.trees = 10000. Running step 1
Variables remaining:  11 
alpha  0.05  
2025-06-05 12:41:16: dataframe = df niters = 20 num.trees = 10000. Running step 1
Variables remaining:  11 
alpha  0.3  
2025-06-05 12:41:22: dataframe = nonsense_df niters = 10 num.trees = 10000. Running step 1
Variables remaining:  0 
alpha  0.1  
alpha  0.05  
alpha  0.3  
2025-06-05 12:41:24: dataframe = df_const niters = 10 num.trees = 10000. Running step 1
Variables remaining:  13 
alpha  0.1  
2025-06-05 12:41:28: dataframe = df_const niters = 15 num.trees = 10000. Running step 1
Variables remaining:  11 
alpha  0.05  
2025-06-05 12:41:32: dataframe = df_const niters = 20 num.trees = 10000. Running step 1
Variables remaining:  11 
alpha  0.3  
2025-06-05 12:41:39: dataframe = df niters = 3 num.trees = 10. Running step 1
Variables remaining:  9 
alpha  0.1  
2025-06-05 12:41:39: dataframe = df niters = 9 num.trees = 10. Running step 1
Variables remaining:  6 
alpha  0.05  
2025-06-05 12:41:39: dataframe = df niters = 10 num.trees = 10. Running step 1
Variables remaining:  6 
alpha  0.3  
2025-06-05 12:41:39: dataframe = df niters = 5 num.trees = 10. Running step 1
Variables remaining:  11 
alpha  0.1  
2025-06-05 12:41:39: dataframe = df niters = 9 num.trees = 10. Running step 1
Variables remaining:  9 
alpha  0.05  
2025-06-05 12:41:39: dataframe = df niters = 12 num.trees = 10. Running step 1
Variables remaining:  8 
alpha  0.3  
2025-06-05 12:41:39: dataframe = df niters = 5 num.trees = 10. Running step 1
Variables remaining:  9 
alpha  0.1  
2025-06-05 12:41:39: dataframe = df niters = 40 num.trees = 10. Running step 1
Variables remaining:  9 
alpha  0.05  
2025-06-05 12:41:40: dataframe = df niters = 12 num.trees = 10. Running step 1
Variables remaining:  8 
alpha  0.3  
2025-06-05 12:41:40: dataframe = df niters = 3 num.trees = 10000. Running step 1
Variables remaining:  12 
alpha  0.1  
2025-06-05 12:41:41: dataframe = df niters = 9 num.trees = 10000. Running step 1
Variables remaining:  12 
alpha  0.05  
2025-06-05 12:41:44: dataframe = df niters = 10 num.trees = 10000. Running step 1
Variables remaining:  11 
alpha  0.3  
2025-06-05 12:41:47: dataframe = df niters = 70 num.trees = 10000. Running step 1
2025-06-05 12:42:05: dataframe = df niters = 70 num.trees = 10000. Running step 50
Variables remaining:  13 
alpha  0.1  
2025-06-05 12:42:12: dataframe = df niters = 10 num.trees = 10000. Running step 1
Variables remaining:  11 
alpha  0.05  
2025-06-05 12:42:15: dataframe = df niters = 15 num.trees = 10000. Running step 1
Variables remaining:  11 
alpha  0.3  
2025-06-05 12:42:20: dataframe = df niters = 70 num.trees = 10000. Running step 1
2025-06-05 12:42:38: dataframe = df niters = 70 num.trees = 10000. Running step 50
Variables remaining:  12 
alpha  0.1  
2025-06-05 12:42:45: dataframe = df niters = 205 num.trees = 10000. Running step 1
2025-06-05 12:43:00: dataframe = df niters = 205 num.trees = 10000. Running step 50
2025-06-05 12:43:15: dataframe = df niters = 205 num.trees = 10000. Running step 100
2025-06-05 12:43:30: dataframe = df niters = 205 num.trees = 10000. Running step 150
2025-06-05 12:43:45: dataframe = df niters = 205 num.trees = 10000. Running step 200
Variables remaining:  11 
alpha  0.05  
2025-06-05 12:43:47: dataframe = df niters = 12 num.trees = 10000. Running step 1
Variables remaining:  11 
2025-06-05 12:43:50: dataframe = df niters = 10 num.trees = 10000. Running step 1
2025-06-05 12:43:54: dataframe = df niters = 1 num.trees = 10000. Running step 1
 2025-06-05 12:43:54: dataframe = df niters = 2 num.trees = 10000. Running step 1
 2025-06-05 12:43:54: dataframe = df niters = 3 num.trees = 10000. Running step 1
[ FAIL 0 | WARN 0 | SKIP 2 | PASS 129 ]

══ Skipped tests (2) ═══════════════════════════════════════════════════════════
• On CRAN (2): 'test-vim_perm_sim.R:11:3', 'test-vim_perm_sim.R:38:3'

[ FAIL 0 | WARN 0 | SKIP 2 | PASS 129 ]
> 
> proc.time()
   user  system elapsed 
 384.40  101.56  437.54