- model
Object of class htest or pairwise.htest.
- ci
Level of confidence intervals for effect size statistic. Currently
only applies to objects from chisq.test() or oneway.test().
- alternative
A character string specifying the alternative hypothesis;
Controls the type of CI returned: "two.sided" (default, two-sided CI),
"greater" or "less" (one-sided CI). Partial matching is allowed
(e.g., "g", "l", "two"...). See section One-Sided CIs in
the effectsize_CIs vignette.
- bootstrap
Should estimates be bootstrapped?
- effectsize_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.
- verbose
Toggle warnings and messages.
- cramers_v, phi, cohens_g, standardized_d, hedges_g, omega_squared, eta_squared, epsilon_squared, rank_biserial, rank_epsilon_squared, kendalls_w
Deprecated. Please use effectsize_type.
- ...
Arguments passed to or from other methods. For instance, when
bootstrap = TRUE, arguments like type or parallel are
passed down to bootstrap_model().
- ci_method
Method for computing degrees of freedom for
confidence intervals (CI) and the related p-values. Allowed are following
options (which vary depending on the model class): "residual",
"normal", "likelihood", "satterthwaite", "kenward", "wald",
"profile", "boot", "uniroot", "ml1", "betwithin", "hdi",
"quantile", "ci", "eti", "si", "bci", or "bcai". See section
Confidence intervals and approximation of degrees of freedom in
model_parameters() for further details. When ci_method=NULL, in most
cases "wald" is used then.
- keep
Character containing a regular expression pattern that
describes the parameters that should be included (for keep) or excluded
(for drop) in the returned data frame. keep may also be a
named list of regular expressions. All non-matching parameters will be
removed from the output. If keep is a character vector, every parameter
name in the "Parameter" column that matches the regular expression in
keep will be selected from the returned data frame (and vice versa,
all parameter names matching drop will be excluded). Furthermore, if
keep has more than one element, these will be merged with an OR
operator into a regular expression pattern like this: "(one|two|three)".
If keep is a named list of regular expression patterns, the names of the
list-element should equal the column name where selection should be
applied. This is useful for model objects where model_parameters()
returns multiple columns with parameter components, like in
model_parameters.lavaan(). Note that the regular expression pattern
should match the parameter names as they are stored in the returned data
frame, which can be different from how they are printed. Inspect the
$Parameter column of the parameters table to get the exact parameter
names.
- drop
See keep.