Last updated on 2025-03-11 05:50:27 CET.
| Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags | 
|---|---|---|---|---|---|---|
| r-devel-linux-x86_64-debian-clang | 0.1.0 | 5.59 | 116.93 | 122.52 | OK | |
| r-devel-linux-x86_64-debian-gcc | 0.1.0 | 3.91 | 70.84 | 74.75 | OK | |
| r-devel-linux-x86_64-fedora-clang | 0.1.0 | 185.65 | OK | |||
| r-devel-linux-x86_64-fedora-gcc | 0.1.0 | 186.43 | OK | |||
| r-devel-macos-arm64 | 0.1.0 | 207.00 | OK | |||
| r-devel-macos-x86_64 | 0.1.0 | 323.00 | ERROR | |||
| r-devel-windows-x86_64 | 0.1.0 | 7.00 | 135.00 | 142.00 | OK | |
| r-patched-linux-x86_64 | 0.1.0 | 5.79 | 109.60 | 115.39 | OK | |
| r-release-linux-x86_64 | 0.1.0 | 3.00 | 109.64 | 112.64 | OK | |
| r-release-macos-arm64 | 0.1.0 | 209.00 | OK | |||
| r-release-macos-x86_64 | 0.1.0 | 324.00 | ERROR | |||
| r-release-windows-x86_64 | 0.1.0 | 7.00 | 132.00 | 139.00 | OK | |
| r-oldrel-macos-x86_64 | 0.1.0 | 373.00 | ERROR | |||
| r-oldrel-windows-x86_64 | 0.1.0 | 8.00 | 164.00 | 172.00 | OK | 
Version: 0.1.0
Check: tests
Result: ERROR
    Running ‘testthat.R’ [240s/287s]
  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(bdsm)
    > 
    > test_check("bdsm")
    [1] "Prior Mean Model Size: 2"
    [1] "Prior Inclusion Probability: 0.5"
    [1] "Prior Mean Model Size: 2"
    [1] "Prior Inclusion Probability: 0.5"
    [1] "Posterior Mean Model Size:  4.08027539207968"
    initial  value 683.117366 
    iter 100 value 41.336092
    final  value 39.044737 
    converged
    initial  value 741.819590 
    iter 100 value -32.153775
    final  value -33.313975 
    converged
    initial  value 715.204410 
    iter 100 value -29.034048
    final  value -30.705138 
    converged
    initial  value 854.010861 
    iter 100 value -99.535858
    final  value -104.715978 
    converged
    initial  value 802.489421 
    iter 100 value -12.381517
    final  value -13.889648 
    converged
    initial  value 773.966583 
    iter 100 value -83.238184
    final  value -86.195425 
    converged
    initial  value 730.140223 
    iter 100 value -72.197310
    final  value -82.124903 
    converged
    initial  value 779.593030 
    iter 100 value -150.585450
    final  value -155.702262 
    converged
    initial  value 646.828778 
    iter 100 value -276.660860
    final  value -280.031940 
    converged
    initial  value 693.058877 
    iter 100 value -348.970387
    final  value -352.097641 
    converged
    initial  value 661.565114 
    iter 100 value -332.294744
    final  value -346.967522 
    converged
    initial  value 788.861127 
    iter 100 value -410.642350
    final  value -420.960599 
    converged
    initial  value 730.184924 
    iter 100 value -322.602127
    final  value -332.946427 
    converged
    initial  value 693.137385 
    iter 100 value -397.149571
    final  value -404.867446 
    converged
    initial  value 642.628746 
    iter 100 value -384.562963
    final  value -398.464515 
    converged
    initial  value 686.560634 
    iter 100 value -460.244828
    final  value -472.282810 
    converged
    [ FAIL 7 | WARN 1 | SKIP 0 | PASS 14 ]
    
    ══ Failed tests ════════════════════════════════════════════════════════════════
    ── Failure ('test-SEM_bma.R:40:3'): parameters_summary computes correct approximations of BMA parameters of interest based on economic_growth_ms ──
    `bma_params` (`actual`) not equal to `economic_growth_bma_params` (`expected`).
    
    actual vs expected
                             postprob                 pmean                std               stdR             unc_pmean            unc_std           unc_stdR
    - actual[1, ]   1                 1.00829454294323      0.109017126815034  0.160909304579616  1.00829454294323      0.109017126815034  0.160909304579616 
    + expected[1, ] 1                 1.00829454294324      0.109017116430091  0.160909279425281  1.00829454294324      0.109017116430091  0.160909279425281 
    - actual[2, ]   0.72421542903605  0.112526720636743     0.0290170260380944 0.0713066024147719 0.0814935872639584    0.0560248330517665 0.0788122451181888
    + expected[2, ] 0.724215429035913 0.112526720636744     0.02901702834219   0.0713066112642638 0.0814935872639437    0.0560248339160252 0.0788122509167764
    - actual[3, ]   0.707755014395393 -0.000586362187472065 0.0599963932657828 0.0972102314804381 -0.000415000778435205 0.0504745763136361 0.0817816302661768
    + expected[3, ] 0.707755014395517 -0.000586362187470274 0.0599963866181173 0.097210204697469  -0.000415000778434011 0.0504745707211588 0.0817816077342801
    - actual[4, ]   0.661624225314199 -0.0256807724665409   0.0370901929747144 0.0832530530286312 -0.0169910211886454   0.0325243379659662 0.0687997973998867
    + expected[4, ] 0.661624225314061 -0.0256807724665425   0.0370901934868091 0.0832530514935827 -0.0169910211886429   0.0325243383523419 0.0687997961708953
    - actual[5, ]   0.986680723334034 0.131098360731761     0.0472864728729402 0.0620826414199004 0.12935222539472      0.0493162748567766 0.063472710491369 
    + expected[5, ] 0.986680723334043 0.131098360731763     0.0472864706556068 0.0620826347252909 0.129352225394724     0.0493162727590226 0.0634727040305869
    
        actual$postprob     | expected$postprob      
    [1] "1"                 | "1"                 [1]
    [2] "0.72421542903605"  - "0.724215429035913" [2]
    [3] "0.707755014395393" - "0.707755014395517" [3]
    [4] "0.661624225314199" - "0.661624225314061" [4]
    [5] "0.986680723334034" - "0.986680723334043" [5]
    
        actual$pmean            | expected$pmean             
    [1] "1.00829454294323"      - "1.00829454294324"      [1]
    [2] "0.112526720636743"     - "0.112526720636744"     [2]
    [3] "-0.000586362187472065" - "-0.000586362187470274" [3]
    [4] "-0.0256807724665409"   - "-0.0256807724665425"   [4]
    [5] "0.131098360731761"     - "0.131098360731763"     [5]
    
        actual$std           | expected$std            
    [1] "0.109017126815034"  - "0.109017116430091"  [1]
    [2] "0.0290170260380944" - "0.02901702834219"   [2]
    [3] "0.0599963932657828" - "0.0599963866181173" [3]
    [4] "0.0370901929747144" - "0.0370901934868091" [4]
    [5] "0.0472864728729402" - "0.0472864706556068" [5]
    
        actual$stdR          | expected$stdR           
    [1] "0.160909304579616"  - "0.160909279425281"  [1]
    [2] "0.0713066024147719" - "0.0713066112642638" [2]
    [3] "0.0972102314804381" - "0.097210204697469"  [3]
    [4] "0.0832530530286312" - "0.0832530514935827" [4]
    [5] "0.0620826414199004" - "0.0620826347252909" [5]
    
        actual$unc_pmean        | expected$unc_pmean         
    [1] "1.00829454294323"      - "1.00829454294324"      [1]
    [2] "0.0814935872639584"    - "0.0814935872639437"    [2]
    [3] "-0.000415000778435205" - "-0.000415000778434011" [3]
    [4] "-0.0169910211886454"   - "-0.0169910211886429"   [4]
    [5] "0.12935222539472"      - "0.129352225394724"     [5]
    
        actual$unc_std       | expected$unc_std        
    [1] "0.109017126815034"  - "0.109017116430091"  [1]
    [2] "0.0560248330517665" - "0.0560248339160252" [2]
    [3] "0.0504745763136361" - "0.0504745707211588" [3]
    [4] "0.0325243379659662" - "0.0325243383523419" [4]
    [5] "0.0493162748567766" - "0.0493162727590226" [5]
    
        actual$unc_stdR      | expected$unc_stdR       
    [1] "0.160909304579616"  - "0.160909279425281"  [1]
    [2] "0.0788122451181888" - "0.0788122509167764" [2]
    [3] "0.0817816302661768" - "0.0817816077342801" [3]
    [4] "0.0687997973998867" - "0.0687997961708953" [4]
    [5] "0.063472710491369"  - "0.0634727040305869" [5]
    ── Failure ('test-SEM_likelihood.R:20:3'): SEM likelihood is calculated correctly for default feature standardization parameters ──
    `sem_value` (`actual`) not equal to 133.223858 (`expected`).
    
      `actual`: 134.05
    `expected`: 133.22
    ── Failure ('test-SEM_likelihood.R:31:3'): SEM likelihood is calculated correctly for cross_sectional TRUE ──
    `sem_value` (`actual`) not equal to 217.693805 (`expected`).
    
      `actual`:   NaN
    `expected`: 217.7
    ── Failure ('test-SEM_likelihood.R:42:3'): SEM likelihood is calculated correctly for cross_sectional TRUE and scale FALSE ──
    `sem_value` (`actual`) not equal to 225.54665 (`expected`).
    
      `actual`: 220.8
    `expected`: 225.5
    ── Failure ('test-SEM_likelihood.R:53:3'): SEM likelihood is calculated correctly for cross_sectional FALSE and scale FALSE ──
    `sem_value` (`actual`) not equal to 140.498138 (`expected`).
    
      `actual`: 137.7
    `expected`: 140.5
    ── Failure ('test-SEM_likelihood.R:60:3'): SEM likelihood is calculated incorrectly for specific data ──
    `... <- NULL` did not throw the expected warning.
    ── Failure ('test-model_space.R:14:3'): optimal_model_space correctly computes economic_growth_ms ──
    `model_space` (`actual`) not equal to `economic_growth_ms` (`expected`).
    
    actual vs expected
                             [, 1]         [, 2]         [, 3]         [, 4]         [, 5]         [, 6]         [, 7]         [, 8]         [, 9]         [,10]         [,11]         [,12]         [,13]         [,14]         [,15]         [,16]
    - actual[1, ]     1.1407325063  1.099698e+00  1.219560e+00  1.127542e+00  1.1279671582  1.058458e+00  1.199070e+00  1.093936e+00  1.0229286469  9.907342e-01  1.026809e+00  9.910167e-01  1.0215222881  9.825492e-01  1.0642556470  0.9993842297
    + expected[1, ]   1.1407202923  1.099688e+00  1.219552e+00  1.127555e+00  1.1279645652  1.058468e+00  1.199063e+00  1.093931e+00  1.0229544660  9.907199e-01  1.027003e+00  9.910331e-01  1.0214418175  9.825608e-01  1.0638442494  0.9990677746
    - actual[2, ]    -0.1337837871 -1.234192e-01 -2.238277e-01 -1.571172e-01 -0.1523512563 -1.016383e-01 -2.176306e-01 -1.337998e-01  0.0052956338  2.742419e-04 -2.919798e-02 -2.361047e-02 -0.0246056328 -1.277954e-02 -0.0794821380 -0.0414361219
    + expected[2, ]  -0.1337698199 -1.234106e-01 -2.238198e-01 -1.571318e-01 -0.1523512071 -1.016449e-01 -2.176220e-01 -1.337997e-01  0.0052687351  2.944010e-04 -2.933656e-02 -2.364125e-02 -0.0245075902 -1.279735e-02 -0.0790667316 -0.0411687979
    - actual[3, ]     0.0566501922  9.004261e-06  2.966200e-02 -7.925328e-06  0.0315549903 -2.007114e-06  1.494634e-05  5.104379e-06  0.0808146797  5.441573e-02  7.512395e-02  4.901756e-02  0.0651825858  4.284459e-02  0.0498885060  0.0330727204
    + expected[3, ]   0.0566618039 -2.723644e-06  2.966844e-02  1.926969e-06  0.0315501147 -5.724588e-06 -2.503582e-06  6.775119e-07  0.0808056570  5.441414e-02  7.513490e-02  4.900858e-02  0.0652042724  4.284360e-02  0.0500775664  0.0332238513
    - actual[4, ]     0.1870429391  1.579152e-01  1.862188e-01  1.572039e-01  0.1832583712  1.552333e-01  1.809164e-01  1.540559e-01  0.1753577559  1.487462e-01  1.764188e-01  1.512840e-01  0.1732439844  1.483854e-01  0.1759379410  0.1510929710
    + expected[4, ]   0.1870405168  1.579151e-01  1.862189e-01  1.572051e-01  0.1832570668  1.552363e-01  1.809174e-01  1.540587e-01  0.1753630868  1.487515e-01  1.764077e-01  1.512714e-01  0.1732270130  1.483862e-01  0.1758809678  0.1510713715
    - actual[5, ]     0.1789097102  1.831147e-01  1.879526e-01  1.853265e-01  0.1812605183  1.785085e-01  1.883520e-01  1.819459e-01  0.1592329556  1.653235e-01  1.591877e-01  1.651138e-01 -0.1625687606  1.651813e-01  0.1674691404 -0.1672718522
    + expected[5, ]   0.1789069659  1.831147e-01  1.879514e-01  1.853255e-01  0.1812617190  1.785093e-01  1.883498e-01  1.819451e-01  0.1592365100  1.653227e-01  1.592308e-01  1.651126e-01 -0.1625563946  1.651936e-01  0.1674196084 -0.1672350885
    - actual[6, ]     0.1652244128  1.698859e-01  1.708075e-01  1.692047e-01  0.1650784078  1.636737e-01  1.692961e-01  1.635205e-01  0.1550105251  1.588088e-01  1.551735e-01  1.590770e-01  0.1540452698  1.564201e-01  0.1567670034  0.1574173497
    + expected[6, ]   0.1652207814  1.698873e-01  1.708065e-01  1.692045e-01  0.1650800163  1.636750e-01  1.692969e-01  1.635208e-01  0.1550156414  1.587944e-01  1.551830e-01  1.591196e-01  0.1540451252  1.564180e-01  0.1567235451  0.1573871196
    - actual[7, ]    -0.1520433611  1.588928e-01  1.646212e-01  1.623433e-01  0.1504663184  1.498382e-01  1.629938e-01  1.545332e-01  0.1357682693  1.380035e-01  1.359455e-01  1.375993e-01  0.1357166752  1.360004e-01  0.1394915401  0.1373896493
    + expected[7, ]  -0.1520419424  1.588954e-01  1.646199e-01  1.623447e-01  0.1504677299  1.498407e-01  1.629930e-01  1.545342e-01  0.1357717573  1.380062e-01  1.359649e-01  1.376105e-01  0.1357089321  1.360063e-01  0.1394476198  0.1373489242
    - actual[8, ]               NA  1.324415e-01            NA  1.285602e-01            NA  1.239101e-01            NA  1.192018e-01            NA  1.113466e-01            NA  1.150299e-01            NA  1.086973e-01            NA  0.1127648324
    + expected[8, ]             NA  1.324535e-01            NA  1.285555e-01            NA  1.239084e-01            NA  1.192009e-01            NA  1.113591e-01            NA  1.150310e-01            NA  1.086753e-01            NA  0.1127508358
    - actual[9, ]               NA            NA -7.944206e-02 -5.768929e-02            NA            NA -1.044436e-01 -7.058526e-02            NA            NA  8.454603e-04  1.697146e-02            NA            NA -0.0250838336  0.0012951342
    + expected[9, ]             NA            NA -7.944448e-02 -5.769177e-02            NA            NA -1.044348e-01 -7.058320e-02            NA            NA  5.974547e-04  1.699712e-02            NA            NA -0.0250275552  0.0014754601
    - actual[10, ]              NA            NA            NA            NA -0.0411337531 -2.456049e-02 -5.480890e-02 -3.198520e-02            NA            NA            NA            NA -0.0259843783 -2.080769e-02 -0.0345857902 -0.0240797851
    + expected[10, ]            NA            NA            NA            NA -0.0411431305 -2.455238e-02 -5.480525e-02 -3.198845e-02            NA            NA            NA            NA -0.0259939837 -2.081871e-02 -0.0345197432 -0.0240326129
    and 41 more ...
    
    [ FAIL 7 | WARN 1 | SKIP 0 | PASS 14 ]
    Error: Test failures
    Execution halted
Flavor: r-devel-macos-x86_64
Version: 0.1.0
Check: tests
Result: ERROR
    Running ‘testthat.R’ [244s/285s]
  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(bdsm)
    > 
    > test_check("bdsm")
    [1] "Prior Mean Model Size: 2"
    [1] "Prior Inclusion Probability: 0.5"
    [1] "Prior Mean Model Size: 2"
    [1] "Prior Inclusion Probability: 0.5"
    [1] "Posterior Mean Model Size:  4.08027539207968"
    initial  value 683.117366 
    iter 100 value 41.336092
    final  value 39.044737 
    converged
    initial  value 741.819590 
    iter 100 value -32.153775
    final  value -33.313975 
    converged
    initial  value 715.204410 
    iter 100 value -29.034048
    final  value -30.705138 
    converged
    initial  value 854.010861 
    iter 100 value -99.535858
    final  value -104.715978 
    converged
    initial  value 802.489421 
    iter 100 value -12.381517
    final  value -13.889648 
    converged
    initial  value 773.966583 
    iter 100 value -83.238184
    final  value -86.195425 
    converged
    initial  value 730.140223 
    iter 100 value -72.197310
    final  value -82.124903 
    converged
    initial  value 779.593030 
    iter 100 value -150.585450
    final  value -155.702262 
    converged
    initial  value 646.828778 
    iter 100 value -276.660860
    final  value -280.031940 
    converged
    initial  value 693.058877 
    iter 100 value -348.970387
    final  value -352.097641 
    converged
    initial  value 661.565114 
    iter 100 value -332.294744
    final  value -346.967522 
    converged
    initial  value 788.861127 
    iter 100 value -410.642350
    final  value -420.960599 
    converged
    initial  value 730.184924 
    iter 100 value -322.602127
    final  value -332.946427 
    converged
    initial  value 693.137385 
    iter 100 value -397.149571
    final  value -404.867446 
    converged
    initial  value 642.628746 
    iter 100 value -384.562963
    final  value -398.464515 
    converged
    initial  value 686.560634 
    iter 100 value -460.244828
    final  value -472.282810 
    converged
    [ FAIL 7 | WARN 1 | SKIP 0 | PASS 14 ]
    
    ══ Failed tests ════════════════════════════════════════════════════════════════
    ── Failure ('test-SEM_bma.R:40:3'): parameters_summary computes correct approximations of BMA parameters of interest based on economic_growth_ms ──
    `bma_params` (`actual`) not equal to `economic_growth_bma_params` (`expected`).
    
    actual vs expected
                             postprob                 pmean                std               stdR             unc_pmean            unc_std           unc_stdR
    - actual[1, ]   1                 1.00829454294323      0.109017126815034  0.160909304579616  1.00829454294323      0.109017126815034  0.160909304579616 
    + expected[1, ] 1                 1.00829454294324      0.109017116430091  0.160909279425281  1.00829454294324      0.109017116430091  0.160909279425281 
    - actual[2, ]   0.72421542903605  0.112526720636743     0.0290170260380944 0.0713066024147719 0.0814935872639584    0.0560248330517665 0.0788122451181888
    + expected[2, ] 0.724215429035913 0.112526720636744     0.02901702834219   0.0713066112642638 0.0814935872639437    0.0560248339160252 0.0788122509167764
    - actual[3, ]   0.707755014395393 -0.000586362187472065 0.0599963932657828 0.0972102314804381 -0.000415000778435205 0.0504745763136361 0.0817816302661768
    + expected[3, ] 0.707755014395517 -0.000586362187470274 0.0599963866181173 0.097210204697469  -0.000415000778434011 0.0504745707211588 0.0817816077342801
    - actual[4, ]   0.661624225314199 -0.0256807724665409   0.0370901929747144 0.0832530530286312 -0.0169910211886454   0.0325243379659662 0.0687997973998867
    + expected[4, ] 0.661624225314061 -0.0256807724665425   0.0370901934868091 0.0832530514935827 -0.0169910211886429   0.0325243383523419 0.0687997961708953
    - actual[5, ]   0.986680723334034 0.131098360731761     0.0472864728729402 0.0620826414199004 0.12935222539472      0.0493162748567766 0.063472710491369 
    + expected[5, ] 0.986680723334043 0.131098360731763     0.0472864706556068 0.0620826347252909 0.129352225394724     0.0493162727590226 0.0634727040305869
    
        actual$postprob     | expected$postprob      
    [1] "1"                 | "1"                 [1]
    [2] "0.72421542903605"  - "0.724215429035913" [2]
    [3] "0.707755014395393" - "0.707755014395517" [3]
    [4] "0.661624225314199" - "0.661624225314061" [4]
    [5] "0.986680723334034" - "0.986680723334043" [5]
    
        actual$pmean            | expected$pmean             
    [1] "1.00829454294323"      - "1.00829454294324"      [1]
    [2] "0.112526720636743"     - "0.112526720636744"     [2]
    [3] "-0.000586362187472065" - "-0.000586362187470274" [3]
    [4] "-0.0256807724665409"   - "-0.0256807724665425"   [4]
    [5] "0.131098360731761"     - "0.131098360731763"     [5]
    
        actual$std           | expected$std            
    [1] "0.109017126815034"  - "0.109017116430091"  [1]
    [2] "0.0290170260380944" - "0.02901702834219"   [2]
    [3] "0.0599963932657828" - "0.0599963866181173" [3]
    [4] "0.0370901929747144" - "0.0370901934868091" [4]
    [5] "0.0472864728729402" - "0.0472864706556068" [5]
    
        actual$stdR          | expected$stdR           
    [1] "0.160909304579616"  - "0.160909279425281"  [1]
    [2] "0.0713066024147719" - "0.0713066112642638" [2]
    [3] "0.0972102314804381" - "0.097210204697469"  [3]
    [4] "0.0832530530286312" - "0.0832530514935827" [4]
    [5] "0.0620826414199004" - "0.0620826347252909" [5]
    
        actual$unc_pmean        | expected$unc_pmean         
    [1] "1.00829454294323"      - "1.00829454294324"      [1]
    [2] "0.0814935872639584"    - "0.0814935872639437"    [2]
    [3] "-0.000415000778435205" - "-0.000415000778434011" [3]
    [4] "-0.0169910211886454"   - "-0.0169910211886429"   [4]
    [5] "0.12935222539472"      - "0.129352225394724"     [5]
    
        actual$unc_std       | expected$unc_std        
    [1] "0.109017126815034"  - "0.109017116430091"  [1]
    [2] "0.0560248330517665" - "0.0560248339160252" [2]
    [3] "0.0504745763136361" - "0.0504745707211588" [3]
    [4] "0.0325243379659662" - "0.0325243383523419" [4]
    [5] "0.0493162748567766" - "0.0493162727590226" [5]
    
        actual$unc_stdR      | expected$unc_stdR       
    [1] "0.160909304579616"  - "0.160909279425281"  [1]
    [2] "0.0788122451181888" - "0.0788122509167764" [2]
    [3] "0.0817816302661768" - "0.0817816077342801" [3]
    [4] "0.0687997973998867" - "0.0687997961708953" [4]
    [5] "0.063472710491369"  - "0.0634727040305869" [5]
    ── Failure ('test-SEM_likelihood.R:20:3'): SEM likelihood is calculated correctly for default feature standardization parameters ──
    `sem_value` (`actual`) not equal to 133.223858 (`expected`).
    
      `actual`: 134.05
    `expected`: 133.22
    ── Failure ('test-SEM_likelihood.R:31:3'): SEM likelihood is calculated correctly for cross_sectional TRUE ──
    `sem_value` (`actual`) not equal to 217.693805 (`expected`).
    
      `actual`:   NaN
    `expected`: 217.7
    ── Failure ('test-SEM_likelihood.R:42:3'): SEM likelihood is calculated correctly for cross_sectional TRUE and scale FALSE ──
    `sem_value` (`actual`) not equal to 225.54665 (`expected`).
    
      `actual`: 220.8
    `expected`: 225.5
    ── Failure ('test-SEM_likelihood.R:53:3'): SEM likelihood is calculated correctly for cross_sectional FALSE and scale FALSE ──
    `sem_value` (`actual`) not equal to 140.498138 (`expected`).
    
      `actual`: 137.7
    `expected`: 140.5
    ── Failure ('test-SEM_likelihood.R:60:3'): SEM likelihood is calculated incorrectly for specific data ──
    `... <- NULL` did not throw the expected warning.
    ── Failure ('test-model_space.R:14:3'): optimal_model_space correctly computes economic_growth_ms ──
    `model_space` (`actual`) not equal to `economic_growth_ms` (`expected`).
    
    actual vs expected
                             [, 1]         [, 2]         [, 3]         [, 4]         [, 5]         [, 6]         [, 7]         [, 8]         [, 9]         [,10]         [,11]         [,12]         [,13]         [,14]         [,15]         [,16]
    - actual[1, ]     1.1407325063  1.099698e+00  1.219560e+00  1.127542e+00  1.1279671582  1.058458e+00  1.199070e+00  1.093936e+00  1.0229286469  9.907342e-01  1.026809e+00  9.910167e-01  1.0215222881  9.825492e-01  1.0642556470  0.9993842297
    + expected[1, ]   1.1407202923  1.099688e+00  1.219552e+00  1.127555e+00  1.1279645652  1.058468e+00  1.199063e+00  1.093931e+00  1.0229544660  9.907199e-01  1.027003e+00  9.910331e-01  1.0214418175  9.825608e-01  1.0638442494  0.9990677746
    - actual[2, ]    -0.1337837871 -1.234192e-01 -2.238277e-01 -1.571172e-01 -0.1523512563 -1.016383e-01 -2.176306e-01 -1.337998e-01  0.0052956338  2.742419e-04 -2.919798e-02 -2.361047e-02 -0.0246056328 -1.277954e-02 -0.0794821380 -0.0414361219
    + expected[2, ]  -0.1337698199 -1.234106e-01 -2.238198e-01 -1.571318e-01 -0.1523512071 -1.016449e-01 -2.176220e-01 -1.337997e-01  0.0052687351  2.944010e-04 -2.933656e-02 -2.364125e-02 -0.0245075902 -1.279735e-02 -0.0790667316 -0.0411687979
    - actual[3, ]     0.0566501922  9.004261e-06  2.966200e-02 -7.925328e-06  0.0315549903 -2.007114e-06  1.494634e-05  5.104379e-06  0.0808146797  5.441573e-02  7.512395e-02  4.901756e-02  0.0651825858  4.284459e-02  0.0498885060  0.0330727204
    + expected[3, ]   0.0566618039 -2.723644e-06  2.966844e-02  1.926969e-06  0.0315501147 -5.724588e-06 -2.503582e-06  6.775119e-07  0.0808056570  5.441414e-02  7.513490e-02  4.900858e-02  0.0652042724  4.284360e-02  0.0500775664  0.0332238513
    - actual[4, ]     0.1870429391  1.579152e-01  1.862188e-01  1.572039e-01  0.1832583712  1.552333e-01  1.809164e-01  1.540559e-01  0.1753577559  1.487462e-01  1.764188e-01  1.512840e-01  0.1732439844  1.483854e-01  0.1759379410  0.1510929710
    + expected[4, ]   0.1870405168  1.579151e-01  1.862189e-01  1.572051e-01  0.1832570668  1.552363e-01  1.809174e-01  1.540587e-01  0.1753630868  1.487515e-01  1.764077e-01  1.512714e-01  0.1732270130  1.483862e-01  0.1758809678  0.1510713715
    - actual[5, ]     0.1789097102  1.831147e-01  1.879526e-01  1.853265e-01  0.1812605183  1.785085e-01  1.883520e-01  1.819459e-01  0.1592329556  1.653235e-01  1.591877e-01  1.651138e-01 -0.1625687606  1.651813e-01  0.1674691404 -0.1672718522
    + expected[5, ]   0.1789069659  1.831147e-01  1.879514e-01  1.853255e-01  0.1812617190  1.785093e-01  1.883498e-01  1.819451e-01  0.1592365100  1.653227e-01  1.592308e-01  1.651126e-01 -0.1625563946  1.651936e-01  0.1674196084 -0.1672350885
    - actual[6, ]     0.1652244128  1.698859e-01  1.708075e-01  1.692047e-01  0.1650784078  1.636737e-01  1.692961e-01  1.635205e-01  0.1550105251  1.588088e-01  1.551735e-01  1.590770e-01  0.1540452698  1.564201e-01  0.1567670034  0.1574173497
    + expected[6, ]   0.1652207814  1.698873e-01  1.708065e-01  1.692045e-01  0.1650800163  1.636750e-01  1.692969e-01  1.635208e-01  0.1550156414  1.587944e-01  1.551830e-01  1.591196e-01  0.1540451252  1.564180e-01  0.1567235451  0.1573871196
    - actual[7, ]    -0.1520433611  1.588928e-01  1.646212e-01  1.623433e-01  0.1504663184  1.498382e-01  1.629938e-01  1.545332e-01  0.1357682693  1.380035e-01  1.359455e-01  1.375993e-01  0.1357166752  1.360004e-01  0.1394915401  0.1373896493
    + expected[7, ]  -0.1520419424  1.588954e-01  1.646199e-01  1.623447e-01  0.1504677299  1.498407e-01  1.629930e-01  1.545342e-01  0.1357717573  1.380062e-01  1.359649e-01  1.376105e-01  0.1357089321  1.360063e-01  0.1394476198  0.1373489242
    - actual[8, ]               NA  1.324415e-01            NA  1.285602e-01            NA  1.239101e-01            NA  1.192018e-01            NA  1.113466e-01            NA  1.150299e-01            NA  1.086973e-01            NA  0.1127648324
    + expected[8, ]             NA  1.324535e-01            NA  1.285555e-01            NA  1.239084e-01            NA  1.192009e-01            NA  1.113591e-01            NA  1.150310e-01            NA  1.086753e-01            NA  0.1127508358
    - actual[9, ]               NA            NA -7.944206e-02 -5.768929e-02            NA            NA -1.044436e-01 -7.058526e-02            NA            NA  8.454603e-04  1.697146e-02            NA            NA -0.0250838336  0.0012951342
    + expected[9, ]             NA            NA -7.944448e-02 -5.769177e-02            NA            NA -1.044348e-01 -7.058320e-02            NA            NA  5.974547e-04  1.699712e-02            NA            NA -0.0250275552  0.0014754601
    - actual[10, ]              NA            NA            NA            NA -0.0411337531 -2.456049e-02 -5.480890e-02 -3.198520e-02            NA            NA            NA            NA -0.0259843783 -2.080769e-02 -0.0345857902 -0.0240797851
    + expected[10, ]            NA            NA            NA            NA -0.0411431305 -2.455238e-02 -5.480525e-02 -3.198845e-02            NA            NA            NA            NA -0.0259939837 -2.081871e-02 -0.0345197432 -0.0240326129
    and 41 more ...
    
    [ FAIL 7 | WARN 1 | SKIP 0 | PASS 14 ]
    Error: Test failures
    Execution halted
Flavor: r-release-macos-x86_64
Version: 0.1.0
Check: tests
Result: ERROR
    Running ‘testthat.R’ [260s/330s]
  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(bdsm)
    > 
    > test_check("bdsm")
    [1] "Prior Mean Model Size: 2"
    [1] "Prior Inclusion Probability: 0.5"
    [1] "Prior Mean Model Size: 2"
    [1] "Prior Inclusion Probability: 0.5"
    [1] "Posterior Mean Model Size:  4.08027539207968"
    initial  value 683.117366 
    iter 100 value 41.336092
    final  value 39.044737 
    converged
    initial  value 741.819590 
    iter 100 value -32.153775
    final  value -33.313975 
    converged
    initial  value 715.204410 
    iter 100 value -29.034048
    final  value -30.705138 
    converged
    initial  value 854.010861 
    iter 100 value -99.535858
    final  value -104.715978 
    converged
    initial  value 802.489421 
    iter 100 value -12.381517
    final  value -13.889648 
    converged
    initial  value 773.966583 
    iter 100 value -83.238184
    final  value -86.195425 
    converged
    initial  value 730.140223 
    iter 100 value -72.197310
    final  value -82.124903 
    converged
    initial  value 779.593030 
    iter 100 value -150.585450
    final  value -155.702262 
    converged
    initial  value 646.828778 
    iter 100 value -276.660860
    final  value -280.031940 
    converged
    initial  value 693.058877 
    iter 100 value -348.970387
    final  value -352.097641 
    converged
    initial  value 661.565114 
    iter 100 value -332.294744
    final  value -346.967522 
    converged
    initial  value 788.861127 
    iter 100 value -410.642350
    final  value -420.960599 
    converged
    initial  value 730.184924 
    iter 100 value -322.602127
    final  value -332.946427 
    converged
    initial  value 693.137385 
    iter 100 value -397.149571
    final  value -404.867446 
    converged
    initial  value 642.628746 
    iter 100 value -384.562963
    final  value -398.464515 
    converged
    initial  value 686.560634 
    iter 100 value -460.244828
    final  value -472.282810 
    converged
    [ FAIL 7 | WARN 1 | SKIP 0 | PASS 14 ]
    
    ══ Failed tests ════════════════════════════════════════════════════════════════
    ── Failure ('test-SEM_bma.R:40:3'): parameters_summary computes correct approximations of BMA parameters of interest based on economic_growth_ms ──
    `bma_params` (`actual`) not equal to `economic_growth_bma_params` (`expected`).
    
    actual vs expected
                             postprob                 pmean                std               stdR             unc_pmean            unc_std           unc_stdR
    - actual[1, ]   1                 1.00829454294323      0.109017126815034  0.160909304579616  1.00829454294323      0.109017126815034  0.160909304579616 
    + expected[1, ] 1                 1.00829454294324      0.109017116430091  0.160909279425281  1.00829454294324      0.109017116430091  0.160909279425281 
    - actual[2, ]   0.72421542903605  0.112526720636743     0.0290170260380944 0.0713066024147719 0.0814935872639584    0.0560248330517665 0.0788122451181888
    + expected[2, ] 0.724215429035913 0.112526720636744     0.02901702834219   0.0713066112642638 0.0814935872639437    0.0560248339160252 0.0788122509167764
    - actual[3, ]   0.707755014395393 -0.000586362187472065 0.0599963932657828 0.0972102314804381 -0.000415000778435205 0.0504745763136361 0.0817816302661768
    + expected[3, ] 0.707755014395517 -0.000586362187470274 0.0599963866181173 0.097210204697469  -0.000415000778434011 0.0504745707211588 0.0817816077342801
    - actual[4, ]   0.661624225314199 -0.0256807724665409   0.0370901929747144 0.0832530530286312 -0.0169910211886454   0.0325243379659662 0.0687997973998867
    + expected[4, ] 0.661624225314061 -0.0256807724665425   0.0370901934868091 0.0832530514935827 -0.0169910211886429   0.0325243383523419 0.0687997961708953
    - actual[5, ]   0.986680723334034 0.131098360731761     0.0472864728729402 0.0620826414199004 0.12935222539472      0.0493162748567766 0.063472710491369 
    + expected[5, ] 0.986680723334043 0.131098360731763     0.0472864706556068 0.0620826347252909 0.129352225394724     0.0493162727590226 0.0634727040305869
    
        actual$postprob     | expected$postprob      
    [1] "1"                 | "1"                 [1]
    [2] "0.72421542903605"  - "0.724215429035913" [2]
    [3] "0.707755014395393" - "0.707755014395517" [3]
    [4] "0.661624225314199" - "0.661624225314061" [4]
    [5] "0.986680723334034" - "0.986680723334043" [5]
    
        actual$pmean            | expected$pmean             
    [1] "1.00829454294323"      - "1.00829454294324"      [1]
    [2] "0.112526720636743"     - "0.112526720636744"     [2]
    [3] "-0.000586362187472065" - "-0.000586362187470274" [3]
    [4] "-0.0256807724665409"   - "-0.0256807724665425"   [4]
    [5] "0.131098360731761"     - "0.131098360731763"     [5]
    
        actual$std           | expected$std            
    [1] "0.109017126815034"  - "0.109017116430091"  [1]
    [2] "0.0290170260380944" - "0.02901702834219"   [2]
    [3] "0.0599963932657828" - "0.0599963866181173" [3]
    [4] "0.0370901929747144" - "0.0370901934868091" [4]
    [5] "0.0472864728729402" - "0.0472864706556068" [5]
    
        actual$stdR          | expected$stdR           
    [1] "0.160909304579616"  - "0.160909279425281"  [1]
    [2] "0.0713066024147719" - "0.0713066112642638" [2]
    [3] "0.0972102314804381" - "0.097210204697469"  [3]
    [4] "0.0832530530286312" - "0.0832530514935827" [4]
    [5] "0.0620826414199004" - "0.0620826347252909" [5]
    
        actual$unc_pmean        | expected$unc_pmean         
    [1] "1.00829454294323"      - "1.00829454294324"      [1]
    [2] "0.0814935872639584"    - "0.0814935872639437"    [2]
    [3] "-0.000415000778435205" - "-0.000415000778434011" [3]
    [4] "-0.0169910211886454"   - "-0.0169910211886429"   [4]
    [5] "0.12935222539472"      - "0.129352225394724"     [5]
    
        actual$unc_std       | expected$unc_std        
    [1] "0.109017126815034"  - "0.109017116430091"  [1]
    [2] "0.0560248330517665" - "0.0560248339160252" [2]
    [3] "0.0504745763136361" - "0.0504745707211588" [3]
    [4] "0.0325243379659662" - "0.0325243383523419" [4]
    [5] "0.0493162748567766" - "0.0493162727590226" [5]
    
        actual$unc_stdR      | expected$unc_stdR       
    [1] "0.160909304579616"  - "0.160909279425281"  [1]
    [2] "0.0788122451181888" - "0.0788122509167764" [2]
    [3] "0.0817816302661768" - "0.0817816077342801" [3]
    [4] "0.0687997973998867" - "0.0687997961708953" [4]
    [5] "0.063472710491369"  - "0.0634727040305869" [5]
    ── Failure ('test-SEM_likelihood.R:20:3'): SEM likelihood is calculated correctly for default feature standardization parameters ──
    `sem_value` (`actual`) not equal to 133.223858 (`expected`).
    
      `actual`: 134.05
    `expected`: 133.22
    ── Failure ('test-SEM_likelihood.R:31:3'): SEM likelihood is calculated correctly for cross_sectional TRUE ──
    `sem_value` (`actual`) not equal to 217.693805 (`expected`).
    
      `actual`:   NaN
    `expected`: 217.7
    ── Failure ('test-SEM_likelihood.R:42:3'): SEM likelihood is calculated correctly for cross_sectional TRUE and scale FALSE ──
    `sem_value` (`actual`) not equal to 225.54665 (`expected`).
    
      `actual`: 220.8
    `expected`: 225.5
    ── Failure ('test-SEM_likelihood.R:53:3'): SEM likelihood is calculated correctly for cross_sectional FALSE and scale FALSE ──
    `sem_value` (`actual`) not equal to 140.498138 (`expected`).
    
      `actual`: 137.7
    `expected`: 140.5
    ── Failure ('test-SEM_likelihood.R:60:3'): SEM likelihood is calculated incorrectly for specific data ──
    `... <- NULL` did not throw the expected warning.
    ── Failure ('test-model_space.R:14:3'): optimal_model_space correctly computes economic_growth_ms ──
    `model_space` (`actual`) not equal to `economic_growth_ms` (`expected`).
    
    actual vs expected
                             [, 1]         [, 2]         [, 3]         [, 4]         [, 5]         [, 6]         [, 7]         [, 8]         [, 9]         [,10]         [,11]         [,12]         [,13]         [,14]         [,15]         [,16]
    - actual[1, ]     1.1407325063  1.099698e+00  1.219560e+00  1.127542e+00  1.1279671582  1.058458e+00  1.199070e+00  1.093936e+00  1.0229286469  9.907342e-01  1.026809e+00  9.910167e-01  1.0215222881  9.825492e-01  1.0642556470  0.9993842297
    + expected[1, ]   1.1407202923  1.099688e+00  1.219552e+00  1.127555e+00  1.1279645652  1.058468e+00  1.199063e+00  1.093931e+00  1.0229544660  9.907199e-01  1.027003e+00  9.910331e-01  1.0214418175  9.825608e-01  1.0638442494  0.9990677746
    - actual[2, ]    -0.1337837871 -1.234192e-01 -2.238277e-01 -1.571172e-01 -0.1523512563 -1.016383e-01 -2.176306e-01 -1.337998e-01  0.0052956338  2.742419e-04 -2.919798e-02 -2.361047e-02 -0.0246056328 -1.277954e-02 -0.0794821380 -0.0414361219
    + expected[2, ]  -0.1337698199 -1.234106e-01 -2.238198e-01 -1.571318e-01 -0.1523512071 -1.016449e-01 -2.176220e-01 -1.337997e-01  0.0052687351  2.944010e-04 -2.933656e-02 -2.364125e-02 -0.0245075902 -1.279735e-02 -0.0790667316 -0.0411687979
    - actual[3, ]     0.0566501922  9.004261e-06  2.966200e-02 -7.925328e-06  0.0315549903 -2.007114e-06  1.494634e-05  5.104379e-06  0.0808146797  5.441573e-02  7.512395e-02  4.901756e-02  0.0651825858  4.284459e-02  0.0498885060  0.0330727204
    + expected[3, ]   0.0566618039 -2.723644e-06  2.966844e-02  1.926969e-06  0.0315501147 -5.724588e-06 -2.503582e-06  6.775119e-07  0.0808056570  5.441414e-02  7.513490e-02  4.900858e-02  0.0652042724  4.284360e-02  0.0500775664  0.0332238513
    - actual[4, ]     0.1870429391  1.579152e-01  1.862188e-01  1.572039e-01  0.1832583712  1.552333e-01  1.809164e-01  1.540559e-01  0.1753577559  1.487462e-01  1.764188e-01  1.512840e-01  0.1732439844  1.483854e-01  0.1759379410  0.1510929710
    + expected[4, ]   0.1870405168  1.579151e-01  1.862189e-01  1.572051e-01  0.1832570668  1.552363e-01  1.809174e-01  1.540587e-01  0.1753630868  1.487515e-01  1.764077e-01  1.512714e-01  0.1732270130  1.483862e-01  0.1758809678  0.1510713715
    - actual[5, ]     0.1789097102  1.831147e-01  1.879526e-01  1.853265e-01  0.1812605183  1.785085e-01  1.883520e-01  1.819459e-01  0.1592329556  1.653235e-01  1.591877e-01  1.651138e-01 -0.1625687606  1.651813e-01  0.1674691404 -0.1672718522
    + expected[5, ]   0.1789069659  1.831147e-01  1.879514e-01  1.853255e-01  0.1812617190  1.785093e-01  1.883498e-01  1.819451e-01  0.1592365100  1.653227e-01  1.592308e-01  1.651126e-01 -0.1625563946  1.651936e-01  0.1674196084 -0.1672350885
    - actual[6, ]     0.1652244128  1.698859e-01  1.708075e-01  1.692047e-01  0.1650784078  1.636737e-01  1.692961e-01  1.635205e-01  0.1550105251  1.588088e-01  1.551735e-01  1.590770e-01  0.1540452698  1.564201e-01  0.1567670034  0.1574173497
    + expected[6, ]   0.1652207814  1.698873e-01  1.708065e-01  1.692045e-01  0.1650800163  1.636750e-01  1.692969e-01  1.635208e-01  0.1550156414  1.587944e-01  1.551830e-01  1.591196e-01  0.1540451252  1.564180e-01  0.1567235451  0.1573871196
    - actual[7, ]    -0.1520433611  1.588928e-01  1.646212e-01  1.623433e-01  0.1504663184  1.498382e-01  1.629938e-01  1.545332e-01  0.1357682693  1.380035e-01  1.359455e-01  1.375993e-01  0.1357166752  1.360004e-01  0.1394915401  0.1373896493
    + expected[7, ]  -0.1520419424  1.588954e-01  1.646199e-01  1.623447e-01  0.1504677299  1.498407e-01  1.629930e-01  1.545342e-01  0.1357717573  1.380062e-01  1.359649e-01  1.376105e-01  0.1357089321  1.360063e-01  0.1394476198  0.1373489242
    - actual[8, ]               NA  1.324415e-01            NA  1.285602e-01            NA  1.239101e-01            NA  1.192018e-01            NA  1.113466e-01            NA  1.150299e-01            NA  1.086973e-01            NA  0.1127648324
    + expected[8, ]             NA  1.324535e-01            NA  1.285555e-01            NA  1.239084e-01            NA  1.192009e-01            NA  1.113591e-01            NA  1.150310e-01            NA  1.086753e-01            NA  0.1127508358
    - actual[9, ]               NA            NA -7.944206e-02 -5.768929e-02            NA            NA -1.044436e-01 -7.058526e-02            NA            NA  8.454603e-04  1.697146e-02            NA            NA -0.0250838336  0.0012951342
    + expected[9, ]             NA            NA -7.944448e-02 -5.769177e-02            NA            NA -1.044348e-01 -7.058320e-02            NA            NA  5.974547e-04  1.699712e-02            NA            NA -0.0250275552  0.0014754601
    - actual[10, ]              NA            NA            NA            NA -0.0411337531 -2.456049e-02 -5.480890e-02 -3.198520e-02            NA            NA            NA            NA -0.0259843783 -2.080769e-02 -0.0345857902 -0.0240797851
    + expected[10, ]            NA            NA            NA            NA -0.0411431305 -2.455238e-02 -5.480525e-02 -3.198845e-02            NA            NA            NA            NA -0.0259939837 -2.081871e-02 -0.0345197432 -0.0240326129
    and 41 more ...
    
    [ FAIL 7 | WARN 1 | SKIP 0 | PASS 14 ]
    Error: Test failures
    Execution halted
Flavor: r-oldrel-macos-x86_64