fit_rfsrc: Wrapper of 'randomForestSRC::rfsrc'

In QIU-Hongxiang-David/SDRsurv: Sequentially Doubly Robust Estimation of Survival Curve with Time-Varying Covariates

Wrapper of randomForestSRC::rfsrc

Description

Wrapper of randomForestSRC::rfsrc

Usage

fit_rfsrc(
  formula,
  data,
  id.var,
  time.var,
  event.var,
  nfold = 1,
  option = list(),
  oob = TRUE,
  tune = TRUE,
  tune.option = list(),
  ...
)

Arguments

formula	formula used by randomForestSRC::rfsrc
data	data containing all covariates, follow-up time, event indicator and id
id.var	see SDRsurv
time.var	see SDRsurv
event.var	see SDRsurv
nfold	number of folds used when fitting survival curves with sample splitting. Default is 1, meaning no sample splitting
option	a list containing optional arguments passed to randomForestSRC::rfsrc. We encourage using a named list. Will be passed to randomForestSRC::rfsrc by running a command like do.call(rfsrc, option). The user should not specify formula and data.
oob	whether to use out-of-bag (OOB) fitted values from randomForestSRC::rfsrc when sample splitting is not used (nfold=1)
tune	whether to tune mtry and nodesize.
tune.option	a list containing optional arguments passed to randomForestSRC::tune.rfsrc if tune=TRUE; ignored otherwise. doBest should not be specified.
...	ignored

Value

a pred_surv class containing fitted survival curves for individuals in data

QIU-Hongxiang-David/SDRsurv documentation built on March 29, 2024, 8:41 a.m.