Running 'testthat.R' [184s]
Running the tests in 'tests/testthat.R' failed.
Complete output:
  > library(testthat)
  > library(predRupdate)
  > 
  > test_check("predRupdate")
  $OE_ratio
  [1] 1.900612
  
  $OE_ratio_SE
  [1] 0.01879779
  
  $CalInt
  [1] 0.7323461
  
  $CalInt_SE
  [1] 0.02055124
  
  $CalSlope
  [1] 0.6483813
  
  $CalSlope_SE
  [1] 0.04631145
  
  $AUC
  [1] 0.5814277
  
  $AUC_SE
  [1] 0.005738188
  
  $R2_CoxSnell
  [1] -0.04812151
  
  $R2_Nagelkerke
  [1] -0.08631391
  
  $BrierScore
  [1] 0.1248575
  
  
  Performance Results for Model 1 
  ================================= 
  $OE_ratio
  [1] 1.900612
  
  $OE_ratio_SE
  [1] 0.01879779
  
  $CalInt
  [1] 0.7323461
  
  $CalInt_SE
  [1] 0.02055124
  
  $CalSlope
  [1] 0.6483813
  
  $CalSlope_SE
  [1] 0.04631145
  
  $AUC
  [1] 0.5814277
  
  $AUC_SE
  [1] 0.005738188
  
  $R2_CoxSnell
  [1] -0.04812151
  
  $R2_Nagelkerke
  [1] -0.08631391
  
  $BrierScore
  [1] 0.1248575
  
  
  Performance Results for Model 2 
  ================================= 
  $OE_ratio
  [1] 0.8945127
  
  $OE_ratio_SE
  [1] 0.01879779
  
  $CalInt
  [1] -0.1325477
  
  $CalInt_SE
  [1] 0.02039467
  
  $CalSlope
  [1] 0.9867769
  
  $CalSlope_SE
  [1] 0.07035109
  
  $AUC
  [1] 0.5828299
  
  $AUC_SE
  [1] 0.005754004
  
  $R2_CoxSnell
  [1] 0.00737292
  
  $R2_Nagelkerke
  [1] 0.01322455
  
  $BrierScore
  [1] 0.120598
  
  
  Performance Results for Model 3 
  ================================= 
  $OE_ratio
  [1] 1.594518
  
  $OE_ratio_SE
  [1] 0.01879779
  
  $CalInt
  [1] 0.5323554
  
  $CalInt_SE
  [1] 0.02042744
  
  $CalSlope
  [1] 0.7211673
  
  $CalSlope_SE
  [1] 0.06281424
  
  $AUC
  [1] 0.5612504
  
  $AUC_SE
  [1] 0.00589087
  
  $R2_CoxSnell
  [1] -0.02489186
  
  $R2_Nagelkerke
  [1] -0.04464768
  
  $BrierScore
  [1] 0.1234254
  
  
  Performance Results for Model 1 
  ================================= 
  Calibration Measures 
  --------------------------------- 
                          Estimate Std. Err Lower 95% Confidence Interval
  Observed:Expected Ratio   1.9006   0.0188                        1.8319
  Calibration Intercept     0.7323   0.0206                        0.6921
  Calibration Slope         0.6484   0.0463                        0.5576
                          Upper 95% Confidence Interval
  Observed:Expected Ratio                        1.9719
  Calibration Intercept                          0.7726
  Calibration Slope                              0.7392
  
   Also examine the calibration plot, if produced. 
  
  Discrimination Measures 
  --------------------------------- 
      Estimate Std. Err Lower 95% Confidence Interval
  AUC   0.5814   0.0057                        0.5702
      Upper 95% Confidence Interval
  AUC                        0.5927
  
  
  Overall Performance Measures 
  --------------------------------- 
  Cox-Snell R-squared: -0.0481
  Nagelkerke R-squared: -0.0863
  Brier Score: 0.1249
  
   Also examine the distribution plot of predicted risks. 
  
  Performance Results for Model 2 
  ================================= 
  Calibration Measures 
  --------------------------------- 
                          Estimate Std. Err Lower 95% Confidence Interval
  Observed:Expected Ratio   0.8945   0.0188                        0.8622
  Calibration Intercept    -0.1325   0.0204                       -0.1725
  Calibration Slope         0.9868   0.0704                        0.8489
                          Upper 95% Confidence Interval
  Observed:Expected Ratio                        0.9281
  Calibration Intercept                         -0.0926
  Calibration Slope                              1.1247
  
   Also examine the calibration plot, if produced. 
  
  Discrimination Measures 
  --------------------------------- 
      Estimate Std. Err Lower 95% Confidence Interval
  AUC   0.5828   0.0058                        0.5716
      Upper 95% Confidence Interval
  AUC                        0.5941
  
  
  Overall Performance Measures 
  --------------------------------- 
  Cox-Snell R-squared: 0.0074
  Nagelkerke R-squared: 0.0132
  Brier Score: 0.1206
  
   Also examine the distribution plot of predicted risks. 
  
  Performance Results for Model 3 
  ================================= 
  Calibration Measures 
  --------------------------------- 
                          Estimate Std. Err Lower 95% Confidence Interval
  Observed:Expected Ratio   1.5945   0.0188                        1.5368
  Calibration Intercept     0.5324   0.0204                        0.4923
  Calibration Slope         0.7212   0.0628                        0.5981
                          Upper 95% Confidence Interval
  Observed:Expected Ratio                        1.6544
  Calibration Intercept                          0.5724
  Calibration Slope                              0.8443
  
   Also examine the calibration plot, if produced. 
  
  Discrimination Measures 
  --------------------------------- 
      Estimate Std. Err Lower 95% Confidence Interval
  AUC   0.5613   0.0059                        0.5497
      Upper 95% Confidence Interval
  AUC                        0.5728
  
  
  Overall Performance Measures 
  --------------------------------- 
  Cox-Snell R-squared: -0.0249
  Nagelkerke R-squared: -0.0446
  Brier Score: 0.1234
  
   Also examine the distribution plot of predicted risks. 
  $OE_ratio
  [1] 0.6319298
  
  $OE_ratio_SE
  [1] 0.01127588
  
  $CalSlope
  [1] 1.075666
  
  $CalSlope_SE
  [1] 0.03890795
  
  $harrell_C
  [1] 0.586872
  
  $harrell_C_SE
  [1] 0.003204527
  
  
  Performance Results for Model 1 
  ================================= 
  $OE_ratio
  [1] 1.220094
  
  $OE_ratio_SE
  [1] 0.01127588
  
  $CalSlope
  [1] 0.712948
  
  $CalSlope_SE
  [1] 0.02804621
  
  $harrell_C
  [1] 0.5789097
  
  $harrell_C_SE
  [1] 0.003222861
  
  
  Performance Results for Model 2 
  ================================= 
  $OE_ratio
  [1] 0.6319298
  
  $OE_ratio_SE
  [1] 0.01127588
  
  $CalSlope
  [1] 1.075666
  
  $CalSlope_SE
  [1] 0.03890795
  
  $harrell_C
  [1] 0.586872
  
  $harrell_C_SE
  [1] 0.003204527
  
  
  Performance Results for Model 3 
  ================================= 
  $OE_ratio
  [1] 1.042847
  
  $OE_ratio_SE
  [1] 0.01127588
  
  $CalSlope
  [1] 0.9129803
  
  $CalSlope_SE
  [1] 0.03682359
  
  $harrell_C
  [1] 0.5767671
  
  $harrell_C_SE
  [1] 0.003232409
  
  
  Performance Results for Model 1 
  ================================= 
  Calibration Measures 
  --------------------------------- 
                          Estimate Std. Err Lower 95% Confidence Interval
  Observed:Expected Ratio   1.2201   0.0113                        1.1934
  Calibration Slope         0.7129   0.0280                        0.6580
                          Upper 95% Confidence Interval
  Observed:Expected Ratio                        1.2474
  Calibration Slope                              0.7679
  
   Also examine the calibration plot, if produced. 
  
  Discrimination Measures 
  --------------------------------- 
            Estimate Std. Err Lower 95% Confidence Interval
  Harrell C   0.5789   0.0032                        0.5726
            Upper 95% Confidence Interval
  Harrell C                        0.5852
  
   Also examine the distribution plot of predicted risks. 
  
  Performance Results for Model 2 
  ================================= 
  Calibration Measures 
  --------------------------------- 
                          Estimate Std. Err Lower 95% Confidence Interval
  Observed:Expected Ratio   0.6319   0.0113                        0.6181
  Calibration Slope         1.0757   0.0389                        0.9994
                          Upper 95% Confidence Interval
  Observed:Expected Ratio                        0.6461
  Calibration Slope                              1.1519
  
   Also examine the calibration plot, if produced. 
  
  Discrimination Measures 
  --------------------------------- 
            Estimate Std. Err Lower 95% Confidence Interval
  Harrell C   0.5869   0.0032                        0.5806
            Upper 95% Confidence Interval
  Harrell C                        0.5932
  
   Also examine the distribution plot of predicted risks. 
  
  Performance Results for Model 3 
  ================================= 
  Calibration Measures 
  --------------------------------- 
                          Estimate Std. Err Lower 95% Confidence Interval
  Observed:Expected Ratio   1.0428   0.0113                        1.0201
  Calibration Slope         0.9130   0.0368                        0.8408
                          Upper 95% Confidence Interval
  Observed:Expected Ratio                        1.0662
  Calibration Slope                              0.9852
  
   Also examine the calibration plot, if produced. 
  
  Discrimination Measures 
  --------------------------------- 
            Estimate Std. Err Lower 95% Confidence Interval
  Harrell C   0.5768   0.0032                        0.5704
            Upper 95% Confidence Interval
  Harrell C                        0.5831
  
   Also examine the distribution plot of predicted risks. 
  [ FAIL 0 | WARN 0 | SKIP 4 | PASS 179 ]
  
  ══ Skipped tests (4) ═══════════════════════════════════════════════════════════
  • On CRAN (4): 'test-pred_stacked_regression.R:24:3',
    'test-pred_validate_logistic.R:25:3', 'test-pred_validate_survival.R:19:3',
    'test-summary_predinfo.R:8:3'
  
  [ FAIL 0 | WARN 0 | SKIP 4 | PASS 179 ]
  > 
  > proc.time()
     user  system elapsed 
    18.23    1.32   19.57