fit.fun: Fit multiple survival models on survival data

In DARTH-git/darthtools: darthtools is an R package that contains tools developed by the Decision Analysis in R for Technologies in Health (DARTH) workgroup to construct model-based cost-effectiveness analysis in R.

Fit multiple survival models on survival data

Description

fit.fun fits multiple survival models to survival data using survHE.

Usage

fit.fun(
  time,
  status,
  covariate = F,
  rx = NULL,
  data,
  extrapolate = FALSE,
  times,
  k = 2,
  legend_position = "bottom",
  xlow = min(times),
  xhigh = max(times),
  ylow = 0,
  yhigh = 1,
  risktable = F,
  mods = c("exp", "weibull", "gamma", "lnorm", "llogis", "gompertz", "rps", "gengamma")
)

Arguments

time	numeric vector of time to estimate probabilities.
status	numeric vector of event status.
covariate	logical value indicating whether treatment is being used as a covariate in parameteric survival models. Default = FALSE.
rx	character value indicating the treatment variable used as as covariate in parameteric survival models.
data	dataframe containing the time and status variables.
extrapolate	extrapolate beyond model time horizon. Default = FALSE.
times	time horizon the extrapolation is done over.
k	number of knots in Royston-Parmar spline model. Default = 2.
legend_position	position of the legend. Default = "bottom".
xlow	time horizon the extrapolation is done over. Default = min(time).
xhigh	time horizon the extrapolation is done over. Default = max(time).
ylow	time horizon the extrapolation is done over. Default = 0.
yhigh	time horizon the extrapolation is done over. Default = 1.
risktable	time horizon the extrapolation is done over. Default = F.
mods	a vector of models to fit. Choose from = c("exp", "weibull", "gamma", "lnorm", "llogis", "gompertz", "rps", "gengamma").

Value

a list containing all survival model objects.

DARTH-git/darthtools documentation built on April 3, 2025, 2:12 p.m.