fitModels-methods: Method to create the 'SurvivalModel' object

In scientific-computing-solutions/sibyl: Extrapolate Parametric Survival Curves

Description

Method to create the SurvivalModel object

Usage

fitModels(object, ...)

## S4 method for signature 'SurvivalData'
fitModels(object, armAsFactor = TRUE,
  covariates = character(0), endPoint, subgroup = as.character(NA),
  model = c("exponential", "weibull", "llogis", "lnorm", "gompertz"),
  modelOptions = NULL, preferredPackage = getDefaultPackage())

Arguments

object	SurvivalData contains data to be fitted
...	additional arguments for specific instances of this generic
armAsFactor	(logical) TRUE if arm is to be included in the model, FALSE if separate models are to be fitted for each arm
covariates	(character vector) names of covariates to use
endPoint	(character) name of the end-point to be fitted
subgroup	(character string or NA) name of subgroup to fit
model	(character vector) names of model distributions to fit
modelOptions	(named list) extra options to be passed to the fitting functions. For example modelOptions=list(spline=list(k=4)) will pass the argument k=4 to flexsurvSpline
preferredPackage	(character) name of the preferred package in which to look for the specified model

Value

A SurvivalModel object

scientific-computing-solutions/sibyl documentation built on May 21, 2019, 8:40 a.m.