fit_akritas: Wrapper of 'survivalmodels::akritas'

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

Wrapper of survivalmodels::akritas

Description

Wrapper of survivalmodels::akritas

Usage

fit_akritas(
  formula,
  data,
  id.var,
  time.var,
  event.var,
  nfold = 1,
  option = list(),
  lambda = 0.5,
  ...
)

Arguments

formula	formula used by survivalmodels::akritas
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 survivalmodels::akritas. We encourage using a named list. Will be passed to survivalmodels::akritas by running a command like do.call(akritas, option). The user should not specify formula, data and reverse; time_variable, status_variable, x, y will be ignored.
lambda	bandwidth parameter for uniform smoothing kernel in nearest neighbours estimation. The default value of 0.5 is arbitrary and should be chosen by the user
...	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.