# effectsize 0.3.2

## New features

`eta_squared_posterior()`

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

, `omega_squared()`

and `epsilon_squared()`

now works with
`effectsize()`

for class `htest`

supports `oneway.test(...)`

.

## Bug fixes

- 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 )

# effectsize 0.3.1

## New features

`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.

# effectsize 0.3.0

## New features

- 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.

## Bug fixes

- Fix
`cohens_d()`

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

now returns the… pooled sd (#44).

## Changes

- In
`t_to_d()`

, argument `pooled`

is now `paired`

.

# effectsize 0.2.0

## Bug fixes

`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).

# effectsize 0.1.1

## Changes

- News are hidden in an air of mystery…

# effectsize 0.1.0

## New features

`standardize_parameters()`

and `standardize()`

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

## Bug fixes