fit_survival_forest: Wrapper of 'grf::survival_forest'

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

Wrapper of grf::survival_forest

Description

Wrapper of grf::survival_forest

Usage

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

Arguments

formula	formula used by grf::survival_forest
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
oob	whether to use out-of-bag (OOB) fitted values from grf::survival_forest when sample splitting is not used (nfold=1). Default is TRUE
option	a list containing optional arguments passed to grf::survival_forest. We encourage using a named list. Will be passed to grf::survival_forest by running a command like do.call(survival_forest, option). The user should not specify X, Y, D, failure.times and compute.oob.predictions.
...	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.