`cohens_d()`

and`glass_delta()`

: The`correction`

argument has been deprecated, in favor of it being correctly implemented in`hedges_g()`

( #222 ).`eta_squared_posterior()`

no longer uses`car::Anova()`

by default.

`effectsize()`

gains`type =`

argument for specifying which effect size to return.`eta_squared_posterior()`

can return a generalized Eta squared.`oddsratio()`

and`riskratio()`

functions for 2-by-2 contingency tables.`standardize()`

gains support for`mediation::mediate()`

models.`eta_squared()`

family available for`manova`

objects.

`eta_squared()`

family of functions returns non-partial effect size for one-way between subjects design (#180).

`hedges_g()`

correctly implements the available bias correction methods ( #222 ).- Fixed width of CI for Cohen’s
*d*and Hedges’*g*when using*non*-pooled SD.

`standardize_parameters()`

for multi-component models (such as zero-inflated) now returns the unstandardized parameters in some cases where standardization is not possible (previously returned`NA`

s).- Column name changes:
`eta_squared()`

/`F_to_eta2`

families of function now has the`Eta2`

format, where previously was`Eta_Sq`

.`cramers_v`

is now`Cramers_v`

`effectsize()`

added support for`BayesFactor`

objects (Cohen’s*d*, Cramer’s*v*, and*r*).`cohens_g()`

effect size for paired contingency tables.- Generalized Eta Squared now available via
`eta_squared(generalized = ...)`

. `eta_squared()`

,`omega_squared()`

and`epsilon_squared()`

fully support`aovlist`

,`afex_aov`

and`mlm`

(or`maov`

) objects.`standardize_parameters()`

can now return Odds ratios / IRRs (or any exponentiated parameter) by setting`exponentiate = TRUE`

.- Added
`cohens_f_squared()`

and`F_to_f2()`

for Cohen’s*f*-squared. `cohens_f()`

/`cohens_f_squared()`

can be used to estimate Cohen’s*f*for the R-squared change between two models.`standardize()`

and`standardize_info()`

work with weighted models / data ( #82 ).- Added
`hardlyworking`

(simulated) dataset, for use in examples. `interpret_*`

( #131 ):`interpret_omega_squared()`

added`"cohen1992"`

rule.`interpret_p()`

added*Redefine statistical significance*rules.

`oddsratio_to_riskratio()`

for converting OR to RR.

- CIs for Omega-/Epsilon-squared and Adjusted Phi/Cramer’s V return 0s instead of negative values.
`standardize()`

for data frames gains the`remove_na`

argument for dealing with`NA`

s ( #147 ).`standardize()`

and`standardize_info()`

now (and by extension,`standardize_parameters()`

) respect the weights in weighted models when standardizing ( #82 ).- Internal changes to
`standardize_parameters()`

(reducing co-dependency with`parameters`

) - argument`parameters`

has been dropped.

`ranktransform(sign = TURE)`

correctly (doesn’t) deal with zeros.`effectsize()`

for`htest`

works with Spearman and Kendall correlations ( #165 ).

`cramers_v()`

and`phi()`

now work with goodness-of-fit data ( #158 )`standardize_parameters()`

for post-hoc correctly standardizes transformed outcome.- Setting
`two_sd = TRUE`

in`standardize()`

and`standardize_parameters()`

(correctly) on uses 2-SDs of the predictors (and not the response). `standardize_info()`

/`standardize_parameters(method = "posthoc")`

work for zero-inflated models ( #135 )`standardize_info(include_pseudo = TRUE)`

/`standardize_parameters(method = "pseudo")`

are less sensitive in detecting between-group variation of within-group variables.`interpret_oddsratio()`

correctly treats extremely small odds the same as treats extremely large ones.

`standardize_parameters(method = "pseudo")`

returns pseudo-standardized coefficients for (G)LMM models.`d_to_common_language()`

for common language measures of standardized differences (a-la Cohen’s d).

`r_to_odds()`

family is now deprecated in favor of`r_to_oddsratio()`

.`interpret_odds()`

is now deprecated in favor of`interpret_oddsratio()`

`phi()`

and`cramers_v()`

did not respect the CI argument ( #111 ).`standardize()`

/`standardize_parameters()`

properly deal with transformed data in the model formula ( #113 ).`odds_to_probs()`

was mis-treating impossible odds (NEVER TELL ME THE ODDS! #123 )

`eta_squared_posterior()`

for estimating Eta Squared for Bayesian models.`eta_squared()`

,`omega_squared()`

and`epsilon_squared()`

now works with`ols`

/`rms`

models.

`effectsize()`

for class`htest`

supports`oneway.test(...)`

.

- Fix minor miss-calculation of Chi-squared for 2*2 table with small samples ( #102 ).
- Fixed miss-calculation of signed rank in
`ranktransform()`

( #87 ). - Fixed bug in
`standardize()`

for standard objects with non-standard class-attributes (like vectors of class`haven_labelled`

or`vctrs_vctr`

).

- Fix
`effectsize()`

for one sample`t.test(...)`

( #95 ; thanks to pull request by @mutlusun )

`standardize_parameters()`

now returns CIs ( #72 )`eta_squared()`

,`omega_squared()`

and`epsilon_squared()`

now works with`gam`

models.`afex`

models.`lme`

and`anova.lme`

objects.

- New function
`equivalence_test()`

for effect sizes. - New plotting methods in the
`see`

package.

- New general purpose
`effectsize()`

function. - Effectsize for differences have CI methods, and return a data frame.
- Effectsize for ANOVA all have CI methods, and none are based on bootstrapping.
- New effect sizes for contingency tables (
`phi()`

and`cramers_v()`

). `chisq_to_phi()`

/`cramers_v()`

functions now support CIs (via the ncp method), and return a data frame.`F_to_eta2()`

family of functions now support CIs (via the ncp method), and return a data frame.`t_to_d()`

and`t_to_r()`

now support CIs (via the ncp method), and return a data frame.`standardize()`

for model-objects has a default-method, which usually accepts all models. Exception for model-objects that do not work will be added if missing.`standardize.data.frame()`

gets`append`

and`suffix`

arguments, to add (instead of replace) standardized variables to the returned data frame.`eta_squared()`

,`omega_squared()`

and`epsilon_squared()`

now works- output from
`parameters::model_parameters()`

. `mlm`

models.

- output from

- Fix
`cohens_d()`

’s dealing with formula input (#44). `sd_pooled()`

now returns the… pooled sd (#44).

- In
`t_to_d()`

, argument`pooled`

is now`paired`

.

`standardize.data.frame()`

did not work when variables had missing values.- Fixed wrong computation in
`standardize()`

when`two_sd = TRUE`

. - Fixed bug with missing column names in
`standardize_parameters()`

for models with different components (like count and zero-inflation).

- News are hidden in an air of mystery…

`standardize_parameters()`

and`standardize()`

now support models from packages*brglm*,*brglm2*,*mixor*,*fixest*,*cgam*,*cplm*,*cglm*,*glmmadmb*and*complmrob*.

- Fix CRAN check issues.