postTraj: Prediction using 'rstanarm'

In jmBIG: Joint Longitudinal and Survival Model for Big Data

Prediction using rstanarm

Description

prediction of the posterior trajectory for longitudinal marker while using rstanarm for Big data

Usage

postTraj(model, m, ids, ...)

Arguments

model	fitted model object
m	m for posterior_traj function
ids	value of id
...	other parameter option, see posterior_traj

Value

list of predicted values for the given id

Examples

 
##
library(survival)
library(dplyr)
fit6<-jmstanBig(dtlong=long2,dtsurv = surv2,longm=y~ x7+visit+(1|id),
         survm=Surv(time,status)~x1+visit,samplesize=200,time_var='visit',id='id')
P2<-postTraj(model<-fit6,m<-1,ids<-c(1,2,100))
pp1<-plot(P2$p1[[1]],plot_observed = TRUE)
pp2<-plot(P2$p1[[2]],plot_observed = TRUE)
pp3<-plot(P2$p1[[3]],plot_observed = TRUE)
##
   

jmBIG documentation built on May 29, 2024, 6:04 a.m.