model_parameters.befa {parameters} | R Documentation |
Format Bayesian Exploratory Factor Analysis objects from the BayesFM package.
## S3 method for class 'befa' model_parameters( model, sort = FALSE, centrality = "median", dispersion = FALSE, ci = 0.95, ci_method = "eti", test = NULL, verbose = TRUE, ... )
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. |
A data frame of loadings.
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) }