`check_contrasts`

should contrasts be checked and changed to
sum-to-zero contrasts? Default is `TRUE`

.

`type`

type of sums-of-squares to be used for testing effects,
default is 3 which reports Type 3 tests.

`method_mixed`

: Method used to obtain p-values in
`mixed`

, default is `"KR"`

(which will change to
`"LRT"`

soon). (`mixed()`

only)

`es_aov`

: Effect size reported for ANOVAs (see
`aov_car`

), default is `"ges"`

(generalized eta-squared).

`correction_aov`

: Correction used for within-subjects factors with
more than two levels for ANOVAs (see `aov_car`

or
`nice`

), default is `"GG"`

(Greenhouse-Geisser correction).
(ANOVA functions only)

`emmeans_model`

: Which model should be used by emmeans for
follow-up analysis of ANOVAs (i.e., objects pf class `"afex_aov"`

)?
Default is `"univariate"`

which uses the `aov`

model object (if
present). The other option is `"multivariate"`

which uses the `lm`

model object (which is an object of class `"mlm"`

in case
repeated-measures factors are present).

`include_aov`

: Should the `aov`

model be included into ANOVA objects of class `"afex_aov"`

? Setting this to `FALSE`

can lead to considerable speed improvements.

`factorize`

: Should between subject factors be factorized (with
note) before running the analysis? Default is `TRUE`

. (ANOVA functions
only)

`sig_symbols`

: Default significant symbols used for ANOVA and
`mixed`

printing. Default is`c(" +", " *", " **", " ***")`

.

`lmer_function`

: Which `lmer`

function should `mixed`

or
`lmer_alt`

use. The default is `"lmerTest"`

which uses
`lmer`

, `"lme4"`

is also possible which uses
`lmer`

. Note that `mixed`

methods `"KR"`

and
`"S"`

only work with `"lmerTest"`

. For the other methods,
`"lme4"`

could be minimally faster, but does not allow to use
`lmerTest::anova()`

.

`return_aov`

: Return value of the ANOVA functions (see
`aov_car`

), default is `"nice"`

.