plot.pred.accuracy: Plots

In CecileProust-Lima/lcmm: Extended Mixed Models Using Latent Classes and Latent Processes

Plots

Description

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

Usage

## S3 method for class 'Diffepoce'
plot(x, ...)

## S3 method for class 'epoce'
plot(x, ...)

Arguments

x	an object inheriting from classes epoce or Diffepoce
...	other parameters to be passed through to plotting functions

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

Value

Returns plots related to epoce and Diffepoce

Author(s)

Cecile Proust-Lima and Viviane Philipps

See Also

epoce,Diffepoce

Examples

## 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)

CecileProust-Lima/lcmm documentation built on March 3, 2024, 5:23 p.m.