jmBIG (version 0.1.3)

joinRMLBig: Joint model for BIG data using joineRML

Description

function for joint model in BIG DATA using joineRML

Usage

joinRMLBig(dtlong, dtsurv, longm, survm, samplesize = 50, rd, timeVar, id)

Value

returns a list containing various output which are useful for prediction.

Arguments

dtlong

longitudinal dataset, which contains id,visit time,longitudinal measurements along with various covariates

dtsurv

survival dataset corresponding to the longitudinal dataset, with survival status and survival time

longm

model for longitudinal response

survm

survival model

samplesize

random effect part

rd

random effect part

timeVar

time variable in longitudinal model, included in the longitudinal data

id

name of id column in longitudinal dataset

Author

Atanu Bhattacharjee, Bhrigu Kumar Rajbongshi and Gajendra Kumar Vishwakarma

References

Hickey, Graeme L., et al. "joineRML: a joint model and software package for time-to-event and multivariate longitudinal outcomes." BMC medical research methodology 18 (2018): 1-14.

See Also

jmbayesBig,jmstanBig,jmcsBig

Examples

  # \donttest{
##
library(survival)
library(dplyr)
fit4<-joinRMLBig(dtlong=long2,dtsurv = surv2,longm=y~ x7+visit,survm=Surv(time,status)~x1+visit,
rd=~ visit|id,timeVar='visit',samplesize=200,id='id')
P2<-predJRML(model<-fit4,ids<-c(10),dtlong=long2,dtsurv=surv2)
pp1<-plot(P2$plong[[1]])
pp1<-plot(P2$psurv[[1]])
##
   # }