model_parameters.befa {parameters} | R Documentation |
Parameters from Bayesian Exploratory Factor Analysis
Description
Format Bayesian Exploratory Factor Analysis objects from the BayesFM package.
Usage
## S3 method for class 'befa'
model_parameters(
model,
sort = FALSE,
centrality = "median",
dispersion = FALSE,
ci = 0.95,
ci_method = "eti",
test = NULL,
verbose = TRUE,
...
)
Arguments
model |
Bayesian EFA created by the |
sort |
Sort the loadings. |
centrality |
The point-estimates (centrality indices) to compute. Character
(vector) or list with one or more of these options: |
dispersion |
Logical, if |
ci |
Value or vector of probability of the CI (between 0 and 1)
to be estimated. Default to |
ci_method |
The type of index used for Credible Interval. Can be
|
test |
The indices of effect existence to compute. Character (vector) or
list with one or more of these options: |
verbose |
Toggle warnings. |
... |
Arguments passed to or from other methods. |
Value
A data frame of loadings.
Examples
library(parameters)
if (require("BayesFM")) {
efa <- BayesFM::befa(mtcars, iter = 1000)
results <- model_parameters(efa, sort = TRUE, verbose = FALSE)
results
efa_to_cfa(results, verbose = FALSE)
}