> skip_if_not(TEST_ALL)
> set.seed(123)
> cat("Recipe Specification", "\n")
Recipe Specification 

> test_predict_all(rec, model = "CoxModel")
Error in cat("Model:", model@name, "\n"): trying to get slot "name" from an object of a basic class ("character") with no slots

> cat("Formula Specification", "\n")
Formula Specification 

> for (model in c(CoxModel, GBMModel, CForestModel, SurvRegModel)) {
+   test_predict_all(fo, df, model = model())
+ }
Model: CoxModel 

Predicted means (dist = emp)
[1] 1691.723 4244.115 5076.725 4060.545 1077.505 3757.591
  C-Index 
0.7370791 

Predicted probabilities (dist = emp)
Object of class "SurvProbs"
        Time 1    Time 2     Time 3
[1,] 0.7236546 0.3167494 0.09919331
[2,] 0.9420991 0.8089628 0.65304707
[3,] 0.9805221 0.9324724 0.86890230
[4,] 0.9325051 0.7800597 0.60699675
[5,] 0.5857411 0.1493927 0.02190152
[6,] 0.9155521 0.7308119 0.53242838
Times:
[1]  730 1825 3650
    Brier.mean    Brier.time1    Brier.time2    Brier.time3   ROC AUC.mean 
    0.16782367     0.07594024     0.16028856     0.20909811     0.76110938 
 ROC AUC.time1  ROC AUC.time2  ROC AUC.time3  Accuracy.mean Accuracy.time1 
    0.81901975     0.77085305     0.73209904     0.76275310     0.90198020 
Accuracy.time2 Accuracy.time3 
    0.79201871     0.68950289 

Predicted means (dist = exp)
[1]  1626.1482  8818.2639 26739.2056  7526.5948   983.3342  5961.4068
  C-Index 
0.7370791 

Predicted probabilities (dist = exp)
Object of class "SurvProbs"
        Time 1    Time 2     Time 3
[1,] 0.6383213 0.3255354 0.10597332
[2,] 0.9205511 0.8130547 0.66105802
[3,] 0.9730686 0.9340252 0.87240311
[4,] 0.9075656 0.7846845 0.61572979
[5,] 0.4759834 0.1563074 0.02443201
[6,] 0.8847463 0.7362866 0.54211800
Times:
[1]  730 1825 3650
    Brier.mean    Brier.time1    Brier.time2    Brier.time3   ROC AUC.mean 
    0.16759400     0.07512318     0.16010622     0.20907499     0.76110938 
 ROC AUC.time1  ROC AUC.time2  ROC AUC.time3  Accuracy.mean Accuracy.time1 
    0.81901975     0.77085305     0.73209904     0.74710016     0.90685825 
Accuracy.time2 Accuracy.time3 
    0.78714066     0.65917263 

Predicted means (dist = ray)
[1]  2609.364  6076.396 10581.051  5613.760  2029.108  4996.075
  C-Index 
0.7370791 

Predicted probabilities (dist = ray)
Object of class "SurvProbs"
        Time 1    Time 2     Time 3
[1,] 0.9403807 0.6810018 0.21507655
[2,] 0.9887284 0.9316041 0.75322651
[3,] 0.9962686 0.9769063 0.91077597
[4,] 0.9868069 0.9203459 0.71747092
[5,] 0.9033419 0.5297560 0.07875958
[6,] 0.9833719 0.9005054 0.65757489
Times:
[1]  730 1825 3650
    Brier.mean    Brier.time1    Brier.time2    Brier.time3   ROC AUC.mean 
    0.18536586     0.09384058     0.19029969     0.21901567     0.76110938 
 ROC AUC.time1  ROC AUC.time2  ROC AUC.time3  Accuracy.mean Accuracy.time1 
    0.81901975     0.77085305     0.73209904     0.72227215     0.89710215 
Accuracy.time2 Accuracy.time3 
    0.74689676     0.63756539 

Predicted means (dist = wei)
[1]  1669.736  8300.591 23773.697  7142.695  1036.154  5725.583
  C-Index 
0.7370791 

Predicted probabilities (dist = wei)
Object of class "SurvProbs"
        Time 1    Time 2     Time 3
[1,] 0.6643714 0.3415178 0.10742085
[2,] 0.9273664 0.8202726 0.66271394
[3,] 0.9754385 0.9367517 0.87312320
[4,] 0.9154429 0.7928522 0.61753726
[5,] 0.5085334 0.1692005 0.02498635
[6,] 0.8944527 0.7459759 0.54412797
Times:
[1]  730 1825 3650
    Brier.mean    Brier.time1    Brier.time2    Brier.time3   ROC AUC.mean 
    0.16752022     0.07499747     0.15992612     0.20908577     0.76110938 
 ROC AUC.time1  ROC AUC.time2  ROC AUC.time3  Accuracy.mean Accuracy.time1 
    0.81901975     0.77085305     0.73209904     0.73929528     0.90198020 
Accuracy.time2 Accuracy.time3 
    0.77250651     0.65429458 

Predicted means (method = bre)
[1]  1669.736  8300.591 23773.697  7142.695  1036.154  5725.583
  C-Index 
0.7370791 

Predicted probabilities (method = bre)
Object of class "SurvProbs"
        Time 1    Time 2     Time 3
[1,] 0.7008656 0.3067745 0.09606956
[2,] 0.9365565 0.8042035 0.64920501
[3,] 0.9786159 0.9306596 0.86721309
[4,] 0.9260807 0.7746855 0.60281488
[5,] 0.5555521 0.1416930 0.02077272
[6,] 0.9075955 0.7244608 0.52780135
Times:
[1]  730 1825 3650
    Brier.mean    Brier.time1    Brier.time2    Brier.time3   ROC AUC.mean 
    0.16782305     0.07537734     0.16057073     0.20915272     0.76110938 
 ROC AUC.time1  ROC AUC.time2  ROC AUC.time3  Accuracy.mean Accuracy.time1 
    0.81901975     0.77085305     0.73209904     0.76072871     0.90685825 
Accuracy.time2 Accuracy.time3 
    0.78201871     0.68950289 

Predicted means (method = efr)
[1]  1669.736  8300.591 23773.697  7142.695  1036.154  5725.583
  C-Index 
0.7370791 

Predicted probabilities (method = efr)
Object of class "SurvProbs"
        Time 1    Time 2     Time 3
[1,] 0.7236546 0.3167494 0.09919331
[2,] 0.9420991 0.8089628 0.65304707
[3,] 0.9805221 0.9324724 0.86890230
[4,] 0.9325051 0.7800597 0.60699675
[5,] 0.5857411 0.1493927 0.02190152
[6,] 0.9155521 0.7308119 0.53242838
Times:
[1]  730 1825 3650
    Brier.mean    Brier.time1    Brier.time2    Brier.time3   ROC AUC.mean 
    0.16782367     0.07594024     0.16028856     0.20909811     0.76110938 
 ROC AUC.time1  ROC AUC.time2  ROC AUC.time3  Accuracy.mean Accuracy.time1 
    0.81901975     0.77085305     0.73209904     0.76275310     0.90198020 
Accuracy.time2 Accuracy.time3 
    0.79201871     0.68950289 

Predicted means (method = fle)
[1]  1669.736  8300.591 23773.697  7142.695  1036.154  5725.583
  C-Index 
0.7370791 

Predicted probabilities (method = fle)
Object of class "SurvProbs"
        Time 1    Time 2     Time 3
[1,] 0.6967490 0.3049726 0.09550529
[2,] 0.9355397 0.8033303 0.64850015
[3,] 0.9782653 0.9303262 0.86690247
[4,] 0.9249028 0.7737001 0.60204813
[5,] 0.5501663 0.1403194 0.02057134
[6,] 0.9061383 0.7232976 0.52695390
Times:
[1]  730 1825 3650
    Brier.mean    Brier.time1    Brier.time2    Brier.time3   ROC AUC.mean 
    0.16783248     0.07530228     0.16063049     0.20916575     0.76110938 
 ROC AUC.time1  ROC AUC.time2  ROC AUC.time3  Accuracy.mean Accuracy.time1 
    0.81901975     0.77085305     0.73209904     0.76219212     0.90685825 
Accuracy.time2 Accuracy.time3 
    0.78689676     0.68950289 

Predicted events: 
Object of class "SurvEvents"
     Time 1 Time 2 Time 3
[1,]      0      1      1
[2,]      0      0      0
[3,]      0      0      0
[4,]      0      0      0
[5,]      0      1      1
[6,]      0      0      0
Times:
[1]  730 1825 3650
 Accuracy.mean Accuracy.time1 Accuracy.time2 Accuracy.time3 
     0.7627531      0.9019802      0.7920187      0.6895029 
Model: GBMModel 

Predicted means (dist = emp)
[1] 1551.727 4506.047 5051.206 3303.603 1799.007 2787.876
 C-Index 
0.776006 

Predicted probabilities (dist = emp)
Object of class "SurvProbs"
        Time 1    Time 2     Time 3
[1,] 0.6997134 0.2860207 0.07461352
[2,] 0.9553118 0.8519274 0.71727688
[3,] 0.9795950 0.9302837 0.86084067
[4,] 0.8875281 0.6582068 0.42011365
[5,] 0.7404810 0.3488237 0.11260931
[6,] 0.8488801 0.5630986 0.30396700
Times:
[1]  730 1825 3650
    Brier.mean    Brier.time1    Brier.time2    Brier.time3   ROC AUC.mean 
    0.15693439     0.07777817     0.15122123     0.19202476     0.79409295 
 ROC AUC.time1  ROC AUC.time2  ROC AUC.time3  Accuracy.mean Accuracy.time1 
    0.84843939     0.81478824     0.75993719     0.79264046     0.89710215 
Accuracy.time2 Accuracy.time3 
    0.81518944     0.73732639 

Predicted means (dist = exp)
[1]  1472.745 11503.125 25508.961  4407.610  1750.324  3209.855
 C-Index 
0.776006 

Predicted probabilities (dist = exp)
Object of class "SurvProbs"
        Time 1    Time 2     Time 3
[1,] 0.6091608 0.2896209 0.08388024
[2,] 0.9385107 0.8532928 0.72810859
[3,] 0.9717882 0.9309558 0.86667869
[4,] 0.8473659 0.6609636 0.43687283
[5,] 0.6589777 0.3525143 0.12426635
[6,] 0.7965825 0.5663396 0.32074051
Times:
[1]  730 1825 3650
    Brier.mean    Brier.time1    Brier.time2    Brier.time3   ROC AUC.mean 
    0.15640894     0.07684867     0.15120754     0.19135389     0.79409295 
 ROC AUC.time1  ROC AUC.time2  ROC AUC.time3  Accuracy.mean Accuracy.time1 
    0.84843939     0.81478824     0.75993719     0.79110690     0.89222410 
Accuracy.time2 Accuracy.time3 
    0.81518944     0.73621049 

Predicted means (dist = ray)
[1] 1065.564 2977.992 4434.678 1843.390 1161.649 1573.108
 C-Index 
0.776006 

Predicted probabilities (dist = ray)
Object of class "SurvProbs"
        Time 1     Time 2       Time 3
[1,] 0.6916895 0.09987225 9.948998e-05
[2,] 0.9539022 0.74455868 3.073235e-01
[3,] 0.9789429 0.87545440 5.874002e-01
[4,] 0.8841143 0.46310306 4.599500e-02
[5,] 0.7333296 0.14391967 4.290230e-04
[6,] 0.8443997 0.34747659 1.457814e-02
Times:
[1]  730 1825 3650
    Brier.mean    Brier.time1    Brier.time2    Brier.time3   ROC AUC.mean 
    0.24085823     0.07756028     0.17614340     0.34500630     0.79409295 
 ROC AUC.time1  ROC AUC.time2  ROC AUC.time3  Accuracy.mean Accuracy.time1 
    0.84843939     0.81478824     0.75993719     0.70576300     0.89710215 
Accuracy.time2 Accuracy.time3 
    0.75751369     0.59817693 

Predicted means (dist = wei)
[1]  1320.098  8308.444 16945.841  3521.042  1540.705  2651.065
 C-Index 
0.776006 

Predicted probabilities (dist = wei)
Object of class "SurvProbs"
        Time 1    Time 2     Time 3
[1,] 0.6108715 0.2535781 0.05095733
[2,] 0.9388477 0.8388966 0.68309905
[3,] 0.9719456 0.9238399 0.84209547
[4,] 0.8481603 0.6322543 0.36985383
[5,] 0.6605345 0.3152187 0.08170098
[6,] 0.7976081 0.5328374 0.25517664
Times:
[1]  730 1825 3650
    Brier.mean    Brier.time1    Brier.time2    Brier.time3   ROC AUC.mean 
    0.15905496     0.07683408     0.15186027     0.19626013     0.79409295 
 ROC AUC.time1  ROC AUC.time2  ROC AUC.time3  Accuracy.mean Accuracy.time1 
    0.84843939     0.81478824     0.75993719     0.77581687     0.89222410 
Accuracy.time2 Accuracy.time3 
    0.82494554     0.69977678 

Predicted means (method = bre)
[1]  1320.098  8308.444 16945.841  3521.042  1540.705  2651.065
 C-Index 
0.776006 

Predicted probabilities (method = bre)
Object of class "SurvProbs"
        Time 1    Time 2     Time 3
[1,] 0.6758220 0.2762547 0.07206587
[2,] 0.9510721 0.8481465 0.71409359
[3,] 0.9776321 0.9284197 0.85911576
[4,] 0.8772850 0.6506104 0.41526505
[5,] 0.7191488 0.3387746 0.10936520
[6,] 0.8354563 0.5541940 0.29916020
Times:
[1]  730 1825 3650
    Brier.mean    Brier.time1    Brier.time2    Brier.time3   ROC AUC.mean 
    0.15697887     0.07720501     0.15131357     0.19228760     0.79409295 
 ROC AUC.time1  ROC AUC.time2  ROC AUC.time3  Accuracy.mean Accuracy.time1 
    0.84843939     0.81478824     0.75993719     0.79800631     0.89710215 
Accuracy.time2 Accuracy.time3 
    0.82494554     0.74220444 

Predicted means (method = efr)
[1]  1320.098  8308.444 16945.841  3521.042  1540.705  2651.065
 C-Index 
0.776006 

Predicted probabilities (method = efr)
Object of class "SurvProbs"
        Time 1    Time 2     Time 3
[1,] 0.6997134 0.2860207 0.07461352
[2,] 0.9553118 0.8519274 0.71727688
[3,] 0.9795950 0.9302837 0.86084067
[4,] 0.8875281 0.6582068 0.42011365
[5,] 0.7404810 0.3488237 0.11260931
[6,] 0.8488801 0.5630986 0.30396700
Times:
[1]  730 1825 3650
    Brier.mean    Brier.time1    Brier.time2    Brier.time3   ROC AUC.mean 
    0.15693439     0.07777817     0.15122123     0.19202476     0.79409295 
 ROC AUC.time1  ROC AUC.time2  ROC AUC.time3  Accuracy.mean Accuracy.time1 
    0.84843939     0.81478824     0.75993719     0.79264046     0.89710215 
Accuracy.time2 Accuracy.time3 
    0.81518944     0.73732639 

Predicted means (method = fle)
[1]  1320.098  8308.444 16945.841  3521.042  1540.705  2651.065
 C-Index 
0.776006 

Predicted probabilities (method = fle)
Object of class "SurvProbs"
        Time 1    Time 2     Time 3
[1,] 0.6712631 0.2743911 0.07157973
[2,] 0.9502483 0.8474118 0.71347503
[3,] 0.9772502 0.9280569 0.85878010
[4,] 0.8753032 0.6491406 0.41432693
[5,] 0.7150648 0.3368507 0.10874411
[6,] 0.8328657 0.5524756 0.29823258
Times:
[1]  730 1825 3650
    Brier.mean    Brier.time1    Brier.time2    Brier.time3   ROC AUC.mean 
     0.1569975      0.0771217      0.1513406      0.1923420      0.7940929 
 ROC AUC.time1  ROC AUC.time2  ROC AUC.time3  Accuracy.mean Accuracy.time1 
     0.8484394      0.8147882      0.7599372      0.7980063      0.8971021 
Accuracy.time2 Accuracy.time3 
     0.8249455      0.7422044 

Predicted events: 
Object of class "SurvEvents"
     Time 1 Time 2 Time 3
[1,]      0      1      1
[2,]      0      0      0
[3,]      0      0      0
[4,]      0      0      1
[5,]      0      1      1
[6,]      0      0      1
Times:
[1]  730 1825 3650
 Accuracy.mean Accuracy.time1 Accuracy.time2 Accuracy.time3 
     0.7926405      0.8971021      0.8151894      0.7373264 
Model: CForestModel 

Predicted means (dist = emp)
[1] 2293.102 4164.495 3889.431 3016.459 2039.587 2509.327
  C-Index 
0.8318169 

Predicted probabilities (dist = emp)
Object of class "SurvProbs"
        Time 1    Time 2    Time 3
[1,] 0.5368193 0.3762318 0.3221621
[2,] 0.9055654 0.8215813 0.6398857
[3,] 0.9926117 0.8657521 0.4644955
[4,] 0.8813266 0.6534341 0.3644524
[5,] 0.6044973 0.3306267 0.2488742
[6,] 0.7205886 0.4375116 0.3231885
Times:
[1]  730 1825 3650
    Brier.mean    Brier.time1    Brier.time2    Brier.time3   ROC AUC.mean 
    0.11816701     0.06487156     0.12860832     0.13322040     0.90004420 
 ROC AUC.time1  ROC AUC.time2  ROC AUC.time3  Accuracy.mean Accuracy.time1 
    0.91675530     0.88568132     0.90197748     0.81740447     0.89710215 
Accuracy.time2 Accuracy.time3 
    0.82250651     0.78246416 

Predicted means (dist = exp)
[1] 1734.974 8806.515 8118.071 3579.672 1947.817 2622.125
  C-Index 
0.8333015 

Predicted probabilities (dist = exp)
Object of class "SurvProbs"
        Time 1    Time 2    Time 3
[1,] 0.6565505 0.3492773 0.1219946
[2,] 0.9204495 0.8128303 0.6606931
[3,] 0.9140017 0.7986703 0.6378742
[4,] 0.8155200 0.6006017 0.3607224
[5,] 0.6874415 0.3918225 0.1535249
[6,] 0.7569939 0.4985755 0.2485775
Times:
[1]  730 1825 3650
    Brier.mean    Brier.time1    Brier.time2    Brier.time3   ROC AUC.mean 
    0.12516308     0.07424167     0.13243078     0.14117102     0.87314520 
 ROC AUC.time1  ROC AUC.time2  ROC AUC.time3  Accuracy.mean Accuracy.time1 
    0.88083605     0.88123604     0.86521435     0.80425994     0.89556694 
Accuracy.time2 Accuracy.time3 
    0.81950865     0.75858791 

Predicted means (dist = ray)
[1] 1567.973 4702.389 3976.632 2776.029 2036.301 2348.554
  C-Index 
0.8250954 

Predicted probabilities (dist = ray)
Object of class "SurvProbs"
        Time 1    Time 2     Time 3
[1,] 0.8434634 0.3450754 0.01417933
[2,] 0.9812503 0.8884310 0.62300974
[3,] 0.9738802 0.8475387 0.51598620
[4,] 0.9471375 0.7121664 0.25723258
[5,] 0.9039897 0.5321349 0.08018389
[6,] 0.9269263 0.6223468 0.15001333
Times:
[1]  730 1825 3650
    Brier.mean    Brier.time1    Brier.time2    Brier.time3   ROC AUC.mean 
    0.11991114     0.08593789     0.13606893     0.12380577     0.87537442 
 ROC AUC.time1  ROC AUC.time2  ROC AUC.time3  Accuracy.mean Accuracy.time1 
    0.87084433     0.87346284     0.87833340     0.80655257     0.89556694 
Accuracy.time2 Accuracy.time3 
    0.79750645     0.77637450 

Predicted means (dist = wei)
[1]  2275.601 36348.591  3554.363  3823.036  2136.669  2874.755
  C-Index 
0.7924166 

Predicted probabilities (dist = wei)
Object of class "SurvProbs"
        Time 1    Time 2    Time 3
[1,] 0.5999975 0.3715419 0.1952694
[2,] 0.8565371 0.7735700 0.6863677
[3,] 0.9879699 0.8777399 0.4549607
[4,] 0.8001815 0.5939524 0.3715382
[5,] 0.6374725 0.3838676 0.1837255
[6,] 0.7263974 0.4904051 0.2707436
Times:
[1]  730 1825 3650
    Brier.mean    Brier.time1    Brier.time2    Brier.time3   ROC AUC.mean 
     0.1198042      0.0726370      0.1391795      0.1270459      0.8970013 
 ROC AUC.time1  ROC AUC.time2  ROC AUC.time3  Accuracy.mean Accuracy.time1 
     0.9065572      0.8661900      0.9116658      0.8144445      0.8901014 
Accuracy.time2 Accuracy.time3 
     0.8039637      0.7904703 

Predicted means (method = bre)
[1]  2275.601 36348.591  3554.363  3823.036  2136.669  2874.755
  C-Index 
0.7924166 

Predicted probabilities (method = bre)
Object of class "SurvProbs"
        Time 1    Time 2    Time 3
[1,] 0.5368193 0.3762318 0.3221621
[2,] 0.9055654 0.8215813 0.6398857
[3,] 0.9926117 0.8657521 0.4644955
[4,] 0.8813266 0.6534341 0.3644524
[5,] 0.6044973 0.3306267 0.2488742
[6,] 0.7205886 0.4375116 0.3231885
Times:
[1]  730 1825 3650
    Brier.mean    Brier.time1    Brier.time2    Brier.time3   ROC AUC.mean 
    0.11816701     0.06487156     0.12860832     0.13322040     0.90004420 
 ROC AUC.time1  ROC AUC.time2  ROC AUC.time3  Accuracy.mean Accuracy.time1 
    0.91675530     0.88568132     0.90197748     0.81740447     0.89710215 
Accuracy.time2 Accuracy.time3 
    0.82250651     0.78246416 

Predicted means (method = efr)
[1]  2275.601 36348.591  3554.363  3823.036  2136.669  2874.755
  C-Index 
0.7924166 

Predicted probabilities (method = efr)
Object of class "SurvProbs"
        Time 1    Time 2    Time 3
[1,] 0.5368193 0.3762318 0.3221621
[2,] 0.9055654 0.8215813 0.6398857
[3,] 0.9926117 0.8657521 0.4644955
[4,] 0.8813266 0.6534341 0.3644524
[5,] 0.6044973 0.3306267 0.2488742
[6,] 0.7205886 0.4375116 0.3231885
Times:
[1]  730 1825 3650
    Brier.mean    Brier.time1    Brier.time2    Brier.time3   ROC AUC.mean 
    0.11816701     0.06487156     0.12860832     0.13322040     0.90004420 
 ROC AUC.time1  ROC AUC.time2  ROC AUC.time3  Accuracy.mean Accuracy.time1 
    0.91675530     0.88568132     0.90197748     0.81740447     0.89710215 
Accuracy.time2 Accuracy.time3 
    0.82250651     0.78246416 

Predicted means (method = fle)
[1]  2275.601 36348.591  3554.363  3823.036  2136.669  2874.755
  C-Index 
0.7924166 

Predicted probabilities (method = fle)
Object of class "SurvProbs"
        Time 1    Time 2    Time 3
[1,] 0.5368193 0.3762318 0.3221621
[2,] 0.9055654 0.8215813 0.6398857
[3,] 0.9926117 0.8657521 0.4644955
[4,] 0.8813266 0.6534341 0.3644524
[5,] 0.6044973 0.3306267 0.2488742
[6,] 0.7205886 0.4375116 0.3231885
Times:
[1]  730 1825 3650
    Brier.mean    Brier.time1    Brier.time2    Brier.time3   ROC AUC.mean 
    0.11816701     0.06487156     0.12860832     0.13322040     0.90004420 
 ROC AUC.time1  ROC AUC.time2  ROC AUC.time3  Accuracy.mean Accuracy.time1 
    0.91675530     0.88568132     0.90197748     0.81740447     0.89710215 
Accuracy.time2 Accuracy.time3 
    0.82250651     0.78246416 

Predicted events: 
Object of class "SurvEvents"
     Time 1 Time 2 Time 3
[1,]      0      1      1
[2,]      0      0      0
[3,]      0      0      1
[4,]      0      0      1
[5,]      0      1      1
[6,]      0      1      1
Times:
[1]  730 1825 3650
 Accuracy.mean Accuracy.time1 Accuracy.time2 Accuracy.time3 
     0.8174045      0.8971021      0.8225065      0.7824642 
Model: SurvRegModel 

Predicted means (dist = emp)
[1]  1504.553  7831.985 17839.505  6625.441  1141.152  5193.580
  C-Index 
0.7389551 

Predicted probabilities (dist = emp)
Object of class "SurvProbs"
        Time 1    Time 2     Time 3
[1,] 0.6468607 0.3043083 0.07855303
[2,] 0.9311154 0.8228997 0.65915130
[3,] 0.9714729 0.9240012 0.84449506
[4,] 0.9178308 0.7912299 0.60609303
[5,] 0.5543972 0.1996921 0.03191189
[6,] 0.8940612 0.7365145 0.51998641
Times:
[1]  730 1825 3650
    Brier.mean    Brier.time1    Brier.time2    Brier.time3   ROC AUC.mean 
     0.1625862      0.0748709      0.1594926      0.1995285      0.7646008 
 ROC AUC.time1  ROC AUC.time2  ROC AUC.time3  Accuracy.mean Accuracy.time1 
     0.8201391      0.7734394      0.7370822      0.7730848      0.9117363 
Accuracy.time2 Accuracy.time3 
     0.7821271      0.7121988 

Predicted means (dist = exp)
[1]  1504.553  7831.985 17839.505  6625.441  1141.152  5193.580
  C-Index 
0.7389551 

Predicted probabilities (dist = exp)
Object of class "SurvProbs"
        Time 1    Time 2     Time 3
[1,] 0.6468607 0.3043083 0.07855303
[2,] 0.9311154 0.8228997 0.65915130
[3,] 0.9714729 0.9240012 0.84449506
[4,] 0.9178308 0.7912299 0.60609303
[5,] 0.5543972 0.1996921 0.03191189
[6,] 0.8940612 0.7365145 0.51998641
Times:
[1]  730 1825 3650
    Brier.mean    Brier.time1    Brier.time2    Brier.time3   ROC AUC.mean 
     0.1625862      0.0748709      0.1594926      0.1995285      0.7646008 
 ROC AUC.time1  ROC AUC.time2  ROC AUC.time3  Accuracy.mean Accuracy.time1 
     0.8201391      0.7734394      0.7370822      0.7730848      0.9117363 
Accuracy.time2 Accuracy.time3 
     0.7821271      0.7121988 

Predicted means (dist = ray)
[1]  1504.553  7831.985 17839.505  6625.441  1141.152  5193.580
  C-Index 
0.7389551 

Predicted probabilities (dist = ray)
Object of class "SurvProbs"
        Time 1    Time 2     Time 3
[1,] 0.6468607 0.3043083 0.07855303
[2,] 0.9311154 0.8228997 0.65915130
[3,] 0.9714729 0.9240012 0.84449506
[4,] 0.9178308 0.7912299 0.60609303
[5,] 0.5543972 0.1996921 0.03191189
[6,] 0.8940612 0.7365145 0.51998641
Times:
[1]  730 1825 3650
    Brier.mean    Brier.time1    Brier.time2    Brier.time3   ROC AUC.mean 
     0.1625862      0.0748709      0.1594926      0.1995285      0.7646008 
 ROC AUC.time1  ROC AUC.time2  ROC AUC.time3  Accuracy.mean Accuracy.time1 
     0.8201391      0.7734394      0.7370822      0.7730848      0.9117363 
Accuracy.time2 Accuracy.time3 
     0.7821271      0.7121988 

Predicted means (dist = wei)
[1]  1504.553  7831.985 17839.505  6625.441  1141.152  5193.580
  C-Index 
0.7389551 

Predicted probabilities (dist = wei)
Object of class "SurvProbs"
        Time 1    Time 2     Time 3
[1,] 0.6468607 0.3043083 0.07855303
[2,] 0.9311154 0.8228997 0.65915130
[3,] 0.9714729 0.9240012 0.84449506
[4,] 0.9178308 0.7912299 0.60609303
[5,] 0.5543972 0.1996921 0.03191189
[6,] 0.8940612 0.7365145 0.51998641
Times:
[1]  730 1825 3650
    Brier.mean    Brier.time1    Brier.time2    Brier.time3   ROC AUC.mean 
     0.1625862      0.0748709      0.1594926      0.1995285      0.7646008 
 ROC AUC.time1  ROC AUC.time2  ROC AUC.time3  Accuracy.mean Accuracy.time1 
     0.8201391      0.7734394      0.7370822      0.7730848      0.9117363 
Accuracy.time2 Accuracy.time3 
     0.7821271      0.7121988 

Predicted means (method = bre)
[1]  1504.553  7831.985 17839.505  6625.441  1141.152  5193.580
  C-Index 
0.7389551 

Predicted probabilities (method = bre)
Object of class "SurvProbs"
        Time 1    Time 2     Time 3
[1,] 0.6468607 0.3043083 0.07855303
[2,] 0.9311154 0.8228997 0.65915130
[3,] 0.9714729 0.9240012 0.84449506
[4,] 0.9178308 0.7912299 0.60609303
[5,] 0.5543972 0.1996921 0.03191189
[6,] 0.8940612 0.7365145 0.51998641
Times:
[1]  730 1825 3650
    Brier.mean    Brier.time1    Brier.time2    Brier.time3   ROC AUC.mean 
     0.1625862      0.0748709      0.1594926      0.1995285      0.7646008 
 ROC AUC.time1  ROC AUC.time2  ROC AUC.time3  Accuracy.mean Accuracy.time1 
     0.8201391      0.7734394      0.7370822      0.7730848      0.9117363 
Accuracy.time2 Accuracy.time3 
     0.7821271      0.7121988 

Predicted means (method = efr)
[1]  1504.553  7831.985 17839.505  6625.441  1141.152  5193.580
  C-Index 
0.7389551 

Predicted probabilities (method = efr)
Object of class "SurvProbs"
        Time 1    Time 2     Time 3
[1,] 0.6468607 0.3043083 0.07855303
[2,] 0.9311154 0.8228997 0.65915130
[3,] 0.9714729 0.9240012 0.84449506
[4,] 0.9178308 0.7912299 0.60609303
[5,] 0.5543972 0.1996921 0.03191189
[6,] 0.8940612 0.7365145 0.51998641
Times:
[1]  730 1825 3650
    Brier.mean    Brier.time1    Brier.time2    Brier.time3   ROC AUC.mean 
     0.1625862      0.0748709      0.1594926      0.1995285      0.7646008 
 ROC AUC.time1  ROC AUC.time2  ROC AUC.time3  Accuracy.mean Accuracy.time1 
     0.8201391      0.7734394      0.7370822      0.7730848      0.9117363 
Accuracy.time2 Accuracy.time3 
     0.7821271      0.7121988 

Predicted means (method = fle)
[1]  1504.553  7831.985 17839.505  6625.441  1141.152  5193.580
  C-Index 
0.7389551 

Predicted probabilities (method = fle)
Object of class "SurvProbs"
        Time 1    Time 2     Time 3
[1,] 0.6468607 0.3043083 0.07855303
[2,] 0.9311154 0.8228997 0.65915130
[3,] 0.9714729 0.9240012 0.84449506
[4,] 0.9178308 0.7912299 0.60609303
[5,] 0.5543972 0.1996921 0.03191189
[6,] 0.8940612 0.7365145 0.51998641
Times:
[1]  730 1825 3650
    Brier.mean    Brier.time1    Brier.time2    Brier.time3   ROC AUC.mean 
     0.1625862      0.0748709      0.1594926      0.1995285      0.7646008 
 ROC AUC.time1  ROC AUC.time2  ROC AUC.time3  Accuracy.mean Accuracy.time1 
     0.8201391      0.7734394      0.7370822      0.7730848      0.9117363 
Accuracy.time2 Accuracy.time3 
     0.7821271      0.7121988 

Predicted events: 
Object of class "SurvEvents"
     Time 1 Time 2 Time 3
[1,]      0      1      1
[2,]      0      0      0
[3,]      0      0      0
[4,]      0      0      0
[5,]      0      1      1
[6,]      0      0      0
Times:
[1]  730 1825 3650
 Accuracy.mean Accuracy.time1 Accuracy.time2 Accuracy.time3 
     0.7730848      0.9117363      0.7821271      0.7121988 

> models <- c(BARTModel(), BlackBoostModel(), GAMBoostModel(baselearner = "bols"),
+ GLMBoostModel(), GLMNetModel(lambda = 0.05), RangerModel(), RPartModel())
> for (model in models) {
+   test_predict_defaults(fo, df, model = model)
+ }
Model: BARTModel 
*****Calling gbart: type=2
*****Data:
data:n,p,np: 20041, 6, 0
y1,yn: 1.000000, 0.000000
x1,x[n*p]: 10.000000, 0.000000
*****Number of Trees: 50
*****Number of Cut Points: 100 ... 1
*****burn,nd,thin: 250,10000,10
*****Prior:beta,alpha,tau,nu,lambda,offset: 2,0.95,0.212132,3,1,-2.6928
*****Dirichlet:sparse,theta,omega,a,b,rho,augment: 0,0,1,0.5,1,5,0
*****printevery: 1000

MCMC
done 0 (out of 10250)
done 1000 (out of 10250)
done 2000 (out of 10250)
done 3000 (out of 10250)
done 4000 (out of 10250)
done 5000 (out of 10250)
done 6000 (out of 10250)
done 7000 (out of 10250)
done 8000 (out of 10250)
done 9000 (out of 10250)
done 10000 (out of 10250)
time: 208s
trcnt,tecnt: 1000,0
*****In main of C++ for bart prediction
tc (threadcount): 1
number of bart draws: 1000
number of trees in bart sum: 50
number of x columns: 6
from x,np,p: 6, 39770
***using serial code
[1]  2107.051 11956.711  9755.931  6088.642  1830.968  3718.821
  C-Index 
0.8026452 
Model: BlackBoostModel 
[1] 2203.122 6871.887 9510.263 3522.812 1090.879 3371.775
  C-Index 
0.8026452 
Model: GAMBoostModel 
[1] 1976.424 7476.882 8576.702 6352.006 1816.996 4127.929
  C-Index 
0.7390489 
Model: GLMBoostModel 
[1] 1976.424 7476.882 8576.702 6352.006 1816.996 4127.929
  C-Index 
0.7390489 
Model: GLMNetModel 
[1]  2495.073  8929.825 10143.324  7531.495  2285.611  4990.461
  C-Index 
0.7399869 
Model: RangerModel 
[1] 2.673483e+03 2.498634e+13 4.827820e+03 2.455101e+03 1.260642e+03
[6] 1.715979e+03
  C-Index 
0.8722446 
Model: RPartModel 
[1]  1269.163  4625.898  4639.688  6873.595 17077.929  1730.269
  C-Index 
0.6704918 

