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#' @title Update coefficients of Bayesian Cox Models
#'
#' @description
#' This an internal function to update coefficients of the Bayesian Cox Lasso Model
#'
#' @name UpdateRPlee11
#'
#' @inheritParams BayesSurvive
#' @inheritParams func_MCMC
#' @inheritParams func_MCMC_graph
#'
#' @return A list object with component 'beta.ini' for the updated coefficients
#' and component 'acceptlee' for the MCMC acceptance rate
#'
#' @export
UpdateRPlee11 <- function(sobj, hyperpar, ini, S, method, MRF_G, cpp = FALSE) {
if (cpp) {
return(UpdateRPlee11_cpp(sobj, hyperpar, ini, S, method, MRF_G))
}
p <- sobj$p
tau <- hyperpar$tau
cb <- hyperpar$cb
if (method == "Pooled" && MRF_G) {
x <- sobj$X
J <- hyperpar$J
ind.r <- hyperpar$ind.r
ind.d <- hyperpar$ind.d
ind.r_d <- hyperpar$ind.r_d
be.prop.sd.scale <- hyperpar$be.prop.sd.scale
be.ini <- ini$beta.ini
ga.ini <- ini$gamma.ini
h <- ini$h
# erg = UpdateRP.lee11.helper(n, p, x, J, ind.r, ind.d, ind.r_d, be.ini, ga.ini, h, tau, cb)
erg <- updateRP_genomic_cpp(
p, x, J, ind.r, ind.d, ind.r_d,
be.ini, be.prop.sd.scale, ga.ini, h, tau, cb
)
beta.ini <- as.vector(erg$be.ini)
acceptlee <- erg$acceptl
} else {
beta.ini <- acceptlee <- vector("list", S)
for (g in 1:S) { # loop through subgroups
x <- sobj$X[[g]]
J <- hyperpar$J[[g]]
ind.r <- hyperpar$ind.r[[g]]
ind.d <- hyperpar$ind.d[[g]]
ind.r_d <- hyperpar$ind.r_d[[g]]
be.ini <- ini$beta.ini[[g]]
be.prop.sd.scale <- hyperpar$be.prop.sd.scale[[g]]
ga.ini <- ini$gamma.ini[[g]]
h <- ini$h[[g]]
# erg = UpdateRP.lee11.helper(n, p, x, J, ind.r, ind.d, ind.r_d, be.ini, ga.ini, h, tau, cb)
erg <- updateRP_genomic_cpp(
p, x, J, ind.r, ind.d, ind.r_d,
be.ini, be.prop.sd.scale, ga.ini, h, tau, cb
)
beta.ini[[g]] <- as.vector(erg$be.ini)
acceptlee[[g]] <- erg$acceptl
}
}
return(list(beta.ini = beta.ini, acceptlee = acceptlee))
}
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