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## File Name: MHprop_hrm.R
## File Version: 0.13
######################################################################
MHprop_hrm <- function( MHprop, b, a, phi, theta, iter, burnin )
{
psi <- phi
MHprop <- list()
# logical indicating whether standard deviation of the
# proposal distribution is calculated according to
# Browne and Draper (2006)
MHprop$refresh_formula <- TRUE
MHprop$SD <- list( "b"=.4+0*b, "a"=.4 +0*a, "phi"=.2 + 0*phi, "psi"=.4 + 0*psi,
"theta"=.5 + 0*theta )
MHprop$accept <- list("b"=0 + 0*b, "a"=0 + 0*a, "phi"=0+0*phi,
"psi"=0 + 0*psi, "theta"=0 + 0*theta )
MHprop$refresh_count$b <- 0
MHprop$refresh_count$a <- 0
MHprop$refresh_count$phi <- 0
MHprop$refresh_count$psi <- 0
MHprop$refresh_count$theta <- 0
RI <- 25
MHprop$refresh_iter$b <- RI
MHprop$refresh_iter$a <- RI
MHprop$refresh_iter$phi <- RI
MHprop$refresh_iter$psi <- RI
MHprop$refresh_iter$theta <- RI
MHprop$refresh_SDchange$b <- .02
MHprop$refresh_SDchange$a <- .02
MHprop$refresh_SDchange$phi <- .02
MHprop$refresh_SDchange$psi <- .02
MHprop$refresh_SDchange$theta <- .05
vars <- c("b","a", "phi", "psi", "theta")
# compute iterations for which MH updatings must be computed
refresh_iters <- sort( unique( unlist( MHprop$refresh_iter ) ) )
RI <- length(refresh_iters)
v1 <- NULL
for (rr in 1:RI){
l1 <- ( 1:iter %% refresh_iters[rr] )==0
l1 <- (1:iter)[l1]
v1 <- c( v1, l1 )
}
v2 <- sort( unique(v1) )
v2 <- v2[ v2 <=burnin ]
MHprop$ITER_refreshing <- v2
# refreshing variables
MHprop$VARS_refreshing <- c("b", "phi", "psi", "theta")
# boundaries for acceptance rates
MHprop$accept_bounds <- c( .4, .6 )
return(MHprop)
}
######################################################################
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