survcurve: Survival curves for the mixture cure model.

In oswaldogressani/mixcurelps: Approximate Bayesian Inference in Mixture Cure Models

Survival curves for the mixture cure model.

Description

This routine creates objects related to the baseline survival curve and the survival curve of the uncured subjects in a mixture cure model fitted with lpsmc.

Usage

survcurve(
  x,
  type = c("baseline", "uncured"),
  covarprofile = NULL,
  cred.int = 0.95,
  themetype = c("classic", "gray", "light", "dark"),
  outlisted = FALSE
)

Arguments

x	An object of type lpsmc.
type	Either baseline or uncured.
covarprofile	The matrix of covariate profiles.
cred.int	The level for building the credible intervals.
themetype	The theme of the plot either "classic", "gray","light" or "dark".
outlisted	Should a list be produced as an output?

Author(s)

Oswaldo Gressani [e-mail] .

Examples

## Plot survival curves of uncured subjects for AGE=(30,50) and ER=1
rm(list=ls())
data("breastcancer")
formula <- Surv(tobs, delta) ~ inci(AGE + ER) + late(AGE + ER)
fitcancer <- lpsmc(formula = formula, data = breastcancer, K = 20)
profilematrix <- matrix(c(30, 1, 50, 1), nrow = 2, byrow = TRUE)
survcurve(fitcancer, type = "uncured", covarprofile = profilematrix)

oswaldogressani/mixcurelps documentation built on Oct. 30, 2024, 10:45 p.m.