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LTRCforests (version 0.5.0)

Ensemble Methods for Survival Data with Time-Varying Covariates

Description

Implements the conditional inference forest and random survival forest algorithm to modeling left-truncated right-censored data with time-invariant covariates, and (left-truncated) right-censored survival data with time-varying covariates. It also provides functions to tune the parameters and evaluate the model fit. See Yao et al. (2020) .

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Version

Install

install.packages('LTRCforests')

Monthly Downloads

48

Version

0.5.0

License

GPL (>= 2)

Maintainer

Weichi Yao

Last Published

July 3rd, 2020

Functions in LTRCforests (0.5.0)

ltrccf

Fit a LTRC conditional inference forest
ltrcrsf

Fit a LTRC random survival forest with Poisson splitting rule
LTRCforests-package

Constructs forest methods for left-truncated and right-censored (LTRC) survival data
pbcsample

Sample Mayo Clinic Primary Biliary Cirrhosis Data
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
predictProb

Compute a Survival Curve from a LTRCCF model or a LTRCRSF model
print

Print Summary Output of a ltrccf object or a ltrcrsf object
tune.ltrcrsf

Tune mtry to the optimal value with respect to out-of-bag error for a LTRCRSF model