Joint model for BIG data using joineRML
joinRMLBig.Rdfunction for joint model in BIG DATA using joineRML
Arguments
>>>>>>> test- 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
Value
======= <<<<<<< HEADReferences
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
Examples
=======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.
Examples
>>>>>>> test # \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')
#> Error in mjoint(formLongFixed = longm, formLongRandom = rd, formSurv = survm, data = dtlong1[[i]], survData = dtsurv1[[i]], timeVar = timeVar): could not find function "mjoint"
P2<-predJRML(model<-fit4,ids<-c(10),dtlong=long2,dtsurv=surv2)
#> Error in eval(expr, envir, enclos): object 'fit4' not found
pp1<-plot(P2$plong[[1]])
#> Error in eval(expr, envir, enclos): object 'P2' not found
pp1<-plot(P2$psurv[[1]])
#> Error in eval(expr, envir, enclos): object 'P2' not found
##
# }