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f_SamplerFUNDefault <- function(f_posterior, data, spec, par0, ctr) {
p.log <- function(vPw) {
return(f_posterior(vPw = vPw, data = data, spec = spec, PriorFun = TRUE))
}
draw <- f_RCPP_adaptMCMC(theta0 = par0, acc_rate = 0.25,
sigma = diag(length(par0)),
func = p.log, n_mcmc = ctr$nburn + ctr$nmcmc)
colnames(draw) = names(par0)
return(draw)
}
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