https://github.com/cran/HLSM
Tip revision: 281f55f9f8ae3be814d154729507a7fb494e8a92 authored by Tracy Sweet on 06 December 2021, 12:00:02 UTC
version 0.9.0
version 0.9.0
Tip revision: 281f55f
HLSM_C.R
#######################################
##Inputs are all in the form of arrays.
MCMCfunction = function(nn,PP,KK,dd,XX,YY,ZZ,beta,intercept,MuBeta,SigmaBeta,MuZ,VarZ,tuneBetaAll,tuneInt,tuneZAll,niter,PriorA,PriorB){
accBetaAll = rep(0,KK*PP)
accIntAll = rep(0,KK)
accZAll = rep(0,sum(nn))
betaFinal = rep(0,niter*length(beta))
ZZFinal = rep(0,niter*length(ZZ))
InterceptFinal = rep(0, niter*length(intercept))
Zvar1 = Zvar2= rep(0, niter)
postVar = postMu = rep(0,niter*(PP+1))
likelihood = rep(0,niter)
out = .C('sampleRandomIntervention',as.integer(niter),
as.double(XX),as.double(YY),as.double(ZZ),
as.integer(nn),as.integer(PP),as.integer(dd),as.integer(KK),
as.double(beta),as.double(intercept),
as.double(MuBeta),as.double(SigmaBeta), as.double(MuZ),as.double(VarZ), as.double(tuneBetaAll),as.double(tuneInt),as.double(tuneZAll),
as.double(accBetaAll),as.double(accIntAll),as.double(accZAll), as.double(betaFinal),as.double(ZZFinal),as.double(InterceptFinal), as.double(Zvar1),as.double(Zvar2), as.double(postVar),as.double(postMu), as.double(likelihood),as.double(PriorA), as.double(PriorB))
## 1, 2-4, 5-8
## 9-10, 11-14
## 15-17, 18-20
## 21-23, 24-27, 28-30
betaFinal = array(out[[21]],dim = c(niter,PP,KK ))
ZZFinal = list()
accZ = list()
ZZx = array(out[[22]],dim = c((sum(nn)*dd),niter))
for(ni in 1:niter ){
Zsm = list()
n00 = n0 = 1
for(kk in 1:KK ){
n1 = sum(nn[1:kk])
Zsm[[kk]] = array(ZZx[n0:(2*n1),ni],dim = c(nn[kk],dd))
accZ[[kk]] = out[[20]][n00:(n1)]/(niter)
n00 = (n1) + 1
n0 = (2*n1) + 1
}
ZZFinal[[ni]] = Zsm
}
# n00 = n0 = 1
# ZZx = array(out[[29]],dim = c(sum(nn),dd,niter))
# for(kk in 1:KK){
# n1 = sum(nn[1:kk])
# ZZFinal[[kk]] = array(ZZx[n00:n1,,],dim = c(nn[kk],dd,niter))
# accZ[[kk]] = out[[26]][n00:(n1)]/(niter)
# n00 = (n1) + 1
#}
InterceptFinal = array(out[[23]],dim=c(niter,KK) )
Zvar1 = out[[24]]
Zvar2 = out[[25]]
postVarBeta = array(out[[26]],dim = c(niter,PP+1))
postMuBeta = array(out[[27]],dim = c(niter,PP+1))
likelihood = out[[28]]
accbeta = array(out[[18]],dim = c(PP,KK))/(niter)
accint = out[[19]]/(niter)
Zvar = data.frame(Zvar1,Zvar2)
draws = list(Intercept = InterceptFinal, Beta= betaFinal, ZZ = ZZFinal, Zvar = Zvar,BetaMu = postMuBeta, VarMu = postVarBeta, likelihood = likelihood)
accrate = list(intercept = accint, beta = accbeta,Z=accZ)
return(list(draws = draws, acc = accrate))
# return(out)
rm(out)
}