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% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/methods_BayesFM.R
\name{model_parameters.befa}
\alias{model_parameters.befa}
\title{Parameters from Bayesian Exploratory Factor Analysis}
\usage{
\method{model_parameters}{befa}(
model,
sort = FALSE,
centrality = "median",
dispersion = FALSE,
ci = 0.95,
ci_method = "eti",
test = NULL,
verbose = TRUE,
...
)
}
\arguments{
\item{model}{Bayesian EFA created by the \code{BayesFM::befa}.}
\item{sort}{Sort the loadings.}
\item{centrality}{The point-estimates (centrality indices) to compute. Character
(vector) or list with one or more of these options: \code{"median"}, \code{"mean"}, \code{"MAP"}
(see \code{\link[bayestestR:map_estimate]{map_estimate()}}), \code{"trimmed"} (which is just \code{mean(x, trim = threshold)}),
\code{"mode"} or \code{"all"}.}
\item{dispersion}{Logical, if \code{TRUE}, computes indices of dispersion related
to the estimate(s) (\code{SD} and \code{MAD} for \code{mean} and \code{median}, respectively).
Dispersion is not available for \code{"MAP"} or \code{"mode"} centrality indices.}
\item{ci}{Value or vector of probability of the CI (between 0 and 1)
to be estimated. Default to \code{0.95} (\verb{95\%}).}
\item{ci_method}{The type of index used for Credible Interval. Can be \code{"ETI"}
(default, see \code{\link[bayestestR:eti]{eti()}}), \code{"HDI"} (see \code{\link[bayestestR:hdi]{hdi()}}), \code{"BCI"} (see \code{\link[bayestestR:bci]{bci()}}),
\code{"SPI"} (see \code{\link[bayestestR:spi]{spi()}}), or \code{"SI"} (see \code{\link[bayestestR:si]{si()}}).}
\item{test}{The indices of effect existence to compute. Character (vector) or
list with one or more of these options: \code{"p_direction"} (or \code{"pd"}),
\code{"rope"}, \code{"p_map"}, \code{"p_significance"} (or \code{"ps"}), \code{"p_rope"},
\code{"equivalence_test"} (or \code{"equitest"}), \code{"bayesfactor"} (or \code{"bf"}) or
\code{"all"} to compute all tests. For each "test", the corresponding
\pkg{bayestestR} function is called (e.g. \code{\link[bayestestR:rope]{rope()}} or \code{\link[bayestestR:p_direction]{p_direction()}})
and its results included in the summary output.}
\item{verbose}{Toggle warnings.}
\item{...}{Arguments passed to or from other methods.}
}
\value{
A data frame of loadings.
}
\description{
Format Bayesian Exploratory Factor Analysis objects from the BayesFM package.
}
\examples{
library(parameters)
\donttest{
if (require("BayesFM")) {
efa <- BayesFM::befa(mtcars, iter = 1000)
results <- model_parameters(efa, sort = TRUE, verbose = FALSE)
results
efa_to_cfa(results, verbose = FALSE)
}
}
}
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