Convenience wrapper around compress_posterior() that accepts either a
cmdstanr::CmdStanMCMC fit or a vector of cmdstan CSV file paths.
compress_fit(
fit,
method = c("mclust", "mvdens_gmm", "mvdens_kde"),
variables = NULL,
n_components = 3L,
model_name = NULL,
verbose = FALSE,
remove_csvs = FALSE,
...
)Either a CmdStanMCMC object (from cmdstanr::sample()) or
a character vector of cmdstan CSV file paths.
One of 'mclust', 'mvdens_gmm', 'mvdens_kde'.
See compression_methods().
Optional character vector of parameter names to keep.
If NULL (default) all columns are used.
Integer number of mixture components (used by
"mclust" and "mvdens_gmm"). Default 3.
mclust covariance structure (e.g. "VVV", "EEE",
or a vector of allowed model names). Ignored by other methods.
When NULL (default) poco auto-selects a sensible set: the
spherical and diagonal models c("EII", "VII", "EEI", "EVI", "VEI", "VVI") are used when nrow(draws) <= ncol(draws) so covariances
remain identifiable, otherwise mclust's full default set is used
and BIC picks the best.
Logical; print backend progress. Default FALSE.
Logical; if TRUE and fit is a CmdStanMCMC,
delete the CSV output files after compression. Default FALSE.
Additional arguments forwarded to the backend (e.g.
mclust::Mclust()).
A posterior_compressed object (see compress_posterior()).
if (FALSE) { # \dontrun{
fit <- mod$sample(data = stan_data, chains = 4)
comp <- compress_fit(fit, method = "mclust", n_components = 5)
samples <- sample_posterior(comp, n_draws = 1000)
} # }