#' Create a nested sampling MCMC that matches the article
#' @inheritParams default_params_doc
#' @param index the index of the candidate model. The first
#' candidate model has an index of 1, also when there is yes/no a
#' generative model.
#' @export
create_razzo_ns_mcmc <- function(
folder_name,
model_type,
index = 1
) { # nolint indeed a long function name
mcmc <- beautier::create_ns_mcmc(
chain_length = get_razzo_mcmc_chain_length(),
store_every = get_razzo_mcmc_store_every(),
particle_count = 1,
sub_chain_length = 5e3,
epsilon = 1e-12,
treelog = beautier::create_treelog(
log_every = razzo::get_razzo_mcmc_store_every()
),
tracelog = beautier::create_tracelog(
log_every = razzo::get_razzo_mcmc_store_every()
)
)
if (model_type == "generative") {
mcmc$tracelog$filename <- file.path(folder_name, "mbd_gen_evidence.log")
mcmc$treelog$filename <- file.path(folder_name, "mbd_gen_evidence.trees")
}
else {
testit::assert(model_type == "candidate")
mcmc$tracelog$filename <- file.path(
folder_name, paste0("mbd_best_", index, "_evidence.log")
)
mcmc$treelog$filename <- file.path(
folder_name, paste0("mbd_best_", index, "_evidence.trees")
)
}
mcmc
}
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