Plots
This function displays plots related to predictive accuracy functions:
epoce and Diffepoce.
## S3 method for class 'Diffepoce' plot(x, ...) ## S3 method for class 'epoce' plot(x, ...)
x |
an object inheriting from classes |
... |
other parameters to be passed through to plotting functions |
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
Returns plots related to epoce and Diffepoce
Cecile Proust-Lima and Viviane Philipps
## 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)
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