#' @include package.R
#' @include class-McmcdbWide.R
#' @include mcmcdb_wide_misc.R
#' @exportMethod mcmcdb_samples_parameters
NULL
#' @rdname mcmcdb_samples_parameters-methods
#' @docType methods
#' @title Extract MCMC samples (Parameter arrays)
#'
#' @description Extract MCMC samples from an object as a
#' a list of arrays.
#'
#' @param object An object containing the MCMC samples.
#' @param parameters \code{character}. Parameter arrays to include. If \code{NULL}, all parameter arrays.
#' @param chain_id \code{integer}. Chains to include. If \code{NULL}, all chains.
#' @param iter \code{integer}. Iterations to include. If \code{NULL}, all iterations.
#' @param FUN \code{function}. Function to apply to each paramter array. \code{function(x)} where
#' \code{x} is the
#' @param ... Options passed to internal functions.
#'
#' @return \code{list} of \code{array} objects. The arrays represent all
#' iterations of each parameter array.
#'
#' @examples
#' data(line_samples)
#' line_arrays <- mcmcdb_samples_parameters(line_samples)
#' summary(line_arrays)
#' lapply(line_arrays, dim)
setGeneric("mcmcdb_samples_parameters",
function(object, ...) {
standardGeneric("mcmcdb_samples_parameters")
})
mcmcdb_samples_parameters.McmcdbWide <-
function(object, FUN = identity,
parameters=NULL, iter=NULL, chain_id=NULL,
return_type = "l", ...) {
if (is.null(parameters)) {
parameters <- object@parameters
} else {
parameters <- object@parameters[parameters]
}
x <- mcmcdb_unflatten(mcmcdb_wide_subset(object,
parameters = names(parameters),
iter = iter,
chain_id = chain_id),
parameters = parameters)
if (!(identical(FUN, identity) && identical(return_type, "l"))) {
x <- plyr_fun("l", return_type)(x, FUN, ...)
for (i in c("split_type", "split_labels")) {
attr(x, i) <- NULL
}
}
x
}
#' @rdname mcmcdb_samples_parameters-methods
#' @aliases mcmcdb_samples_parameters,McmcdbWide-method
#' @family McmcdbWide methods
setMethod("mcmcdb_samples_parameters", "McmcdbWide",
mcmcdb_samples_parameters.McmcdbWide)
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