plot.pred.accuracy: Plots

Description

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

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

Usage

"plot"(x,...)
"plot"(x,...)

Arguments

an object inheriting from classes epoce or Diffepoce

...

other parameters to be passed through to plotting functions

Value

Returns plots related to epoce and Diffepoce

Details

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

Examples

Run this code

## Not run: 
# # 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))
# ## End(Not run)