- model
Bayesian EFA created by the BayesFM::befa
.
- sort
Sort the loadings.
- centrality
The point-estimates (centrality indices) to compute. Character
(vector) or list with one or more of these options: "median"
, "mean"
, "MAP"
(see map_estimate()
), "trimmed"
(which is just mean(x, trim = threshold)
),
"mode"
or "all"
.
- dispersion
Logical, if TRUE
, computes indices of dispersion related
to the estimate(s) (SD
and MAD
for mean
and median
, respectively).
Dispersion is not available for "MAP"
or "mode"
centrality indices.
- ci
Value or vector of probability of the CI (between 0 and 1)
to be estimated. Default to 0.95
(95%
).
- ci_method
The type of index used for Credible Interval. Can be
"ETI"
(default, see eti()
), "HDI"
(see hdi()
), "BCI"
(see
bci()
), "SPI"
(see spi()
), or
"SI"
(see si()
).
- test
The indices of effect existence to compute. Character (vector) or
list with one or more of these options: "p_direction"
(or "pd"
),
"rope"
, "p_map"
, "equivalence_test"
(or "equitest"
),
"bayesfactor"
(or "bf"
) or "all"
to compute all tests.
For each "test", the corresponding bayestestR function is called
(e.g. rope()
or p_direction()
) and its results
included in the summary output.
- verbose
Toggle warnings.
- ...
Arguments passed to or from other methods.