| LTRCforests-package |
Constructs forest methods for left-truncated and right-censored (LTRC) survival data |
| ltrccf |
Fit a LTRC conditional inference forest |
| ltrcrsf |
Fit a LTRC random survival forest with Poisson splitting rule |
| pbcsample |
Sample Mayo Clinic Primary Biliary Cirrhosis Data |
| predictProb |
Compute a Survival Curve from a LTRCCF model or a LTRCRSF model |
| predictProb.ltrccf, |
Compute a Survival Curve from a LTRCCF model or a LTRCRSF model |
| predictProb.ltrcrsf |
Compute a Survival Curve from a LTRCCF model or a LTRCRSF model |
| print |
Print Summary Output of a ltrccf object or a ltrcrsf object |
| print.ltrccf, |
Print Summary Output of a ltrccf object or a ltrcrsf object |
| print.ltrcrsf |
Print Summary Output of a ltrccf object or a ltrcrsf object |
| sbrier_ltrc |
Model fit evaluation for LTRC forests. |
| tune.ltrccf |
Tune 'mtry' to the optimal value with respect to out-of-bag error for a LTRCCF model |
| tune.ltrcrsf |
Tune 'mtry' to the optimal value with respect to out-of-bag error for a LTRCRSF model |