- model
Object of class BFBayesFactor
.
- 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.
- rope_range
ROPE's lower and higher bounds. Should be a list of two
values (e.g., c(-0.1, 0.1)
) or "default"
. If "default"
,
the bounds are set to x +- 0.1*SD(response)
.
- rope_ci
The Credible Interval (CI) probability, corresponding to the
proportion of HDI, to use for the percentage in ROPE.
- priors
Add the prior used for each parameter.
- es_type
The effect size of interest. Not that possibly not all
effect sizes are applicable to the model object. See 'Details'. For Anova
models, can also be a character vector with multiple effect size names.
- include_proportions
Logical that decides whether to include posterior
cell proportions/counts for Bayesian contingency table analysis (from
BayesFactor::contingencyTableBF()
). Defaults to FALSE
, as this
information is often redundant.
- verbose
Toggle off warnings.
- effectsize_type
Deprecated. Use es_type
instead.
- ...
Additional arguments to be passed to or from methods.