lcmm (version 2.2.1)

plot.Diffepoce: Plots

Description

This function displays plots related to predictive accuracy functions: epoce and Diffepoce.

Usage

# S3 method for Diffepoce
plot(x, ...)
# S3 method for epoce
plot(x, ...)

Value

Returns plots related to epoce and Diffepoce

Arguments

x

an object inheriting from classes epoce or Diffepoce

...

other parameters to be passed through to plotting functions

Author

Cecile Proust-Lima and Viviane Philipps

Details

These functions do not apply for the moment with multiple causes of event (competing risks).

For epoce objects, the function displays the EPOCE estimate (either MPOL or CVPOL) according to the time of prediction. For Diffepoce objects, plot displays the difference in EPOCE estimates (either MPOL or CVPOL) and its 95% tracking interval between two joint latent class models

See Also

epoce,Diffepoce

Examples

if (FALSE) {
# estimation of the joint latent class model
m3 <- Jointlcmm(fixed= Ydep1~Time*X1,mixture=~Time,random=~Time,
classmb=~X3,subject='ID',survival = Surv(Tevent,Event)~X1+mixture(X2),
hazard="3-quant-splines",hazardtype="PH",ng=3,data=data_lcmm,
B=c(0.7667, 0.4020, -0.8243, -0.2726, 0.0000, 0.0000, 0.0000, 0.3020,
-0.6212, 2.6247, 5.3139, -0.0255, 1.3595, 0.8172, -11.6867, 10.1668,
10.2355, 11.5137, -2.6209, -0.4328, -0.6062, 1.4718, -0.0378, 0.8505,
0.0366, 0.2634, 1.4981))
# predictive accuracy of the model evaluated with EPOCE
VecTime <- c(1,3,5,7,9,11,13,15)
cvpl <- epoce(m3,var.time="Time",pred.times=VecTime)
summary(cvpl)
plot(cvpl,bty="l",ylim=c(0,2))
}