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LTRCforests (version 0.5.5)

Ensemble Methods for Survival Data with Time-Varying Covariates

Description

Implements the conditional inference forest and relative risk 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

204

Version

0.5.5

License

GPL (>= 2)

Maintainer

Weichi Yao

Last Published

February 24th, 2021

Functions in LTRCforests (0.5.5)

ltrcrrf

Fit a LTRC relative risk forest
print

Print Summary Output of a ltrccif object or a ltrcrrf object
sbrier_ltrc

Model fit evaluation for LTRC forests.
LTRCforests-package

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

Fit a LTRC conditional inference forest
pbcsample

Sample Mayo Clinic Primary Biliary Cirrhosis Data
predictProb

Compute a Survival Curve from a LTRCCIF model or a LTRCRRF model
tune.ltrccif

Tune mtry to the optimal value with respect to out-of-bag error for a LTRCCIF model
tune.ltrcrrf

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