jmBIG (version 0.1.3)

survfitJMCS: Prediction using FastJM

Description

prediction of survival probability using FastJM for BIG data

Usage

survfitJMCS(model, ids, u, method = "GH", obs.time)

Value

list of predicted value for the given id along with other information relevant for survival probability confidence plot

Arguments

model

fitted model object

ids

value of id

u

see survfitjmcs

method

options are 'Laplace','GH'

obs.time

vector which represents time variable in the longitudinal data

Examples

  # \donttest{
##
library(survival)
library(dplyr)
jmcs1<-jmcsBig(dtlong=data.frame(long2),
dtsurv = data.frame(surv2),
longm=y~ x7+visit,
survm=Surv(time,status)~x1+visit,
rd= ~ visit|id,
samplesize=200,id='id')
mod2<-jmcs1
P2<-survfitJMCS(model<-mod2,ids<-c(5),u<-seq(surv2[surv2$id==5,]$time,
surv2[surv2$id==5,]$time+10,0.2),obs.time='time')
print(P2)
##
  # }