predJRML: Prediction using 'joineRML'

In jmBIG: Joint Longitudinal and Survival Model for Big Data

Prediction using joineRML

Description

prediction of survival probability and longitudinal marker using joineRML for BIG data

Usage

predJRML(model, ids, dtlong, dtsurv, ...)

Arguments

model	fitted model object
ids	value of id
dtlong	longitudinal data
dtsurv	survival data
...	other parameter options, see dynSurv

Value

list of predicted values for the given id

Examples

   
##
library(survival)
library(dplyr)
jmcs1<-joinRMLBig(dtlong=long2,
dtsurv = surv2,
longm=y~ x7+visit,
survm=Surv(time,status)~x1+visit,
rd=~ visit|id,
timeVar='visit',
samplesize=200,
id='id')
mod4<-jmcs1
P2<-predJRML(model<-mod4,ids<-c(10),dtlong=long2,dtsurv=surv2)
plot(P2$plong[[1]])
plot(P2$psurv[[1]])
##
   

jmBIG documentation built on April 3, 2025, 9:57 p.m.