split_data: Function to transform data without time-dependent covariates...

In adibender/pamm: Functions and Utilities for fitting Piece-wise Exponential (Additive) models

Description

Function to transform data without time-dependent covariates into piece-wise exponential data format

Usage

split_data(formula, data, cut = NULL, ..., max.end = FALSE)

Arguments

formula	a model formula
data	a data frame
cut	the vector of timepoints to cut at
...	Further arguments passed to survSplit
max.end	logical. Should the last interval span until the last observed censoring or event time (if larger than the largest specified cut point).

Value

A data frame class ped in piece-wise exponential data format.

See Also

survSplit

Examples

data("veteran", package="survival")
head(veteran)
ped <- split_data(Surv(time, status)~trt + age, data=veteran, 
   cut=c(0, 100, 400), id="id")
head(ped)
class(ped) # class ped (piece-wise exponential data)

adibender/pamm documentation built on May 14, 2019, 5:22 p.m.