Log Message:
(math/R-insight) Updated 0.19.7 to 0.20.5

# insight 0.20.5

## General

* `get_datagrid()` can now be used to extract the "grid" information from
  `{emmeans}` and `{marginaleffects}` outputs.

* Arguments `na.rm` and `na_rm` are deprecated throughout the package's functions.
  Instead, use `remove_na`.

## Bug fixes

* Fixed rendering issue of the example in `?insight::display`.

* Fixed issues due to recent changes in the *glmmTMB* package.

# insight 0.20.4

## New supported models

* Support for models of classes `glm_weighit`, `multinom_weightit` and
  `ordinal_weightit` (package *WeightIt*).

## Changes

* `null_model()` and `formula_ok()` now warn when indexed data frames, such as
  `df[, 5]`, are used as response variable in the formula, as this can lead to
  unexpected results.

* Minor improvements to `link_function()` and `link_inverse()`.

## Bug fixes

* Fixed regression from latest fix related to `get_variance()` for *brms* models.

* Fixed issue in `link_function()` and `link_inverse()` for models of class
  *cglm* with `"identity"` link, which was not correctly recognized \ 
due to a
  typo.

# insight 0.20.3

## Changes

* `get_df()` now supports more model classes.

* `get_variance()` gives an informative error if no mixed model is provided.

## Bug fixes

* Fixed issue in `find_formula()`, `find_predictors()` and `find_variables()`
  for models from package *brms* with custom formulas.

* Fixed issues in `find_response()` for *brms* models with `mi()` function in
  the response variable.

* Fixed issue in `get_variance()` that could lead to recursive calls for
  *brms* models, resulting in "infinite" resampling of the model.

* Fixed issue in `check_if_installed()` that erroneously tried to guess the
  minimum required package version based on the SUGGEST field of the _insight_
  package, instead of the package that was calling the function.

* Fixed issue in `get_modelmatrix()` for models from package *brms* with
  special functions in the formula (like `mo()`).

* Fixed issue in `ellipses_info()` when this function was called from `do.call()`.

* Fixed issue with formatting unicode-symbols, where a wrong unicode-character
  was used for "Omega". Furthermore, Omega2 and Eta2 are now correctly \ 
converted.

# insight 0.20.2

## New supported models

* Support for models of class `glmgee` (package *glmtoolbox*).

* Support for models of class `svy2lme` (package *svylme*).

## General

* Massive overhaul of `get_variance()`. The function should be now more
  accurate for different distributional families, in particular for
  mixed regression models with Beta family.

* Improved accuracy of singularity-checks in `get_variance()`.

* `get_variance()` gets a few new arguments:

  * `null_model`, to provide a null-model to be used for the calculation of
    random effect variances. If `NULL`, the null-model is computed internally.
    This argument is optional, but may be useful to save time, or when the
    null-model cannot be calculated internally.

  * `approximation`, indicating the approximation method for the
    distribution-specific (observation level, or residual) variance.

  * `model_component`, for models that can have a zero-inflation component,
    specify for which component variances should be returned. By default, both
    the conditional and the zero-inflation component are taken into account.

* `format_alert()` and `format_warning()` get an `immediate` argument, to output
  warnings immediately.

* `find_terms()` and `find_transformation()` now better cope with inverse
  transformations of the response value, such as `1/y`.

* `get_transformation()` now returns more transformations for power-transformed
  response variables.

* `model_info()` for `MixMod` objects from package *GLMMadaptive* now recognize
  zero-inflation and hurdle models for custom families.

## Bug fixes

* `null_model()` now correctly handles zero-inflated models from package
  *glmmTMB*.

* Fixed issue in `null_model()` for models from package *GLMMadaptive*.

* Fixed issues in `link_inverse()` and `link_function()` for models of class
  `gamlss` from `LOGNO()` family.

# insight 0.20.1

## Bug fixes

* Fixed possible memory allocation issues when the deprecated argument `at` was
  used in `get_datagrid()`.

# insight 0.20.0

## Breaking

* Arguments named `group`, `at`, `group_by` and `split_by` will be deprecated
  in future releases of _easystats_ packages. Please use `by` instead. This
  affects following functions in *insight*:

  * `export_table()`
  * `get_datagrid()`
  * `print_parameters()`

## Bug fixes

* Fixed errors in CRAN checks.

# insight 0.19.11

## General

* More informative error message for `get_varcov()` when the requested
  `vcov`-function failed.

## Bug fixes

* Fixed issue with `get_data()` for `coxme` models when `source` was set to
  `"modelframe"`.

# insight 0.19.10

## Bug fixes

* Functions like `find_variables()` or `clean_names()` now support multi-membership
  formulas for models from *brms*.

* Updated tests to work with the latest changes in *glmmTMB 1.1.9*.

# insight 0.19.9

## New supported models

* Support for models of class `serp` (package *serp*).

## General

* `standardize_names()` now also recognizes column `s.value` from objects of
  package *marginaleffects*.

## Bug fixes

* Fixed issue in `find_predictors()` for models with splines (`s()`), where
  number of dimensions was indicated with a variable, not a number.

* `format_ci()` now works for factors and character vectors again.

* Fixed issues with latest release of _tinytable_.

* Fixed issues with latest release of _PROreg_.

# insight 0.19.8

## General

* Removed deprecated arguments in `get_data.mmrm()`.

* Improved support for models of class `rqs` (package *quantreg*).

* Revised test to address forthcoming changes in the *pscl* package.

## Bug fixes

* Fixed issue in `get_loglikelihood()` for glm-models with binary outcome, where
  levels were defined in reversed order.

* Fixed issue in `find_formula()` for models of class `glmmPQL` (package *MASS*).

* Fixed issue in `find_formula()` for models of class `gam` (package *mgcv*) for
  the `"gaulss"` family.

* Fixed issue in `get_variance()` for *glmmTMB* models with `family = \ 
"ordbeta"`.

* Fixed issue in `model_info()` with correctly detecting multivariate vgam/vglm
  models.