lcmm (version 1.5.7)

plot.pred.accuracy: Plots

Description

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

Usage

## S3 method for class 'epoce':
plot(x,\dots)
## S3 method for class 'Diffepoce':
plot(x,\dots)

Arguments

x

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, plot 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

See Also

, epoce,Diffepoce

Examples

data(data_Jointlcmm)
# 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_Jointlcmm,
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))