Log Message:
(math/R-insight) Updated 0.20.5 to 1.0.2

# insight 1.02

## Changes

* `get_datagrid()` gives a more informative error message when a variable
  specified in `by` was not found in the data.

* The `by` argument in `get_datagrid()` gets a new token-option, `"[sample \ 
<number>]"`,
  to draw a random sample of values.

## Bug fixes

* Option `"terciles"` and `"terciles2"` in `get_datagrid()` \ 
were swapped, i.e.
  `"terciles"` was doing what was documented for \ 
`"terciles2"` and vice versa.
  This has been fixed.

* `include_random` in `get_datagrid()` now works for nested random effects, i.e.
  for more than one group level factor in the random effects.

* Fixed issue in `get_varcov()` for models of class `brmsfit` that included
  monotonic effects.

# insight 1.01

## General

* Support for models of class `oohbchoice` (package *DCchoice*).

* `format_table()` gets a `stars_only` argument, to format p-value columns to
  contain only significance stars.

* `get_predicted()` for brms-models with categorical family now includes the
  data of the data grid in the returned predictions, for better orientation.

## Bug fixes

* Fixed issues due to latest *mice* updates.

* Fixed typo in `get_parameters.glmmadmb()`, which was erroneously renamed into
  `get_parameters.glmmTMBadmb()`.

* Fixed issues in `find_predictors()` and `has_intercept()` for *brms* models
  with `0 + Intercept` formula notation.

* Fixed issues in `get_statistic()` for models of class `fixest` from
  negative-binomial families.

* Fixed issue with `as.numeric()` method for `get_sigma()`.

* `get_datagrid()` now only returns valid levels when `include_random = TRUE`
  and group-level factor in random effects is numeric.

# insight 1.0.0

## Breaking changes

* All deprecated arguments have been removed.

* The `table_width` argument in `export_table()` now defaults to `"auto"`.

## General

* `get_transformation()` can now deal with any power-transformation, and also
  returns results for divisions (scaled response) and Box-Cox transformations.

* `find_transformation()` and `get_transformation()` now also detects use of
  divisions, like `x/3` or Box-Cox transformations (like `(x^lambda - 1) / lambda`).

* `find_transformation()` and `get_transformation()` get a `include_all` argument,
  to check all model terms for transformations.

* `get_dispersion()` is now an exported function.

* Updated `get_varcov()` (and related documentation) to support new covariance
  matrix estimation methods from the **sandwich** package.

* New function `validate_argument()` as a replacement for `match.arg()` with
  more informative error message.

* The function to calculate the corrections for likelihood-values when the
  response-variable is transformed is now exported as `get_likelihood_adjustment()`.

* `export_table()` can now split tables into more than three tables when
  `table_width` is used (formerly, the maximum number of split tables was three).

* Changed (improved) formatting for parameter tables in `export_table()`, when
  `format = "html"`. Rows are indented, and group headers are emphasized in
  italic.

* `formula_ok()` now also checks for syntactically invalid variable names.
  Furthermore, argument `checks` now allows to specify for which possibly
  problematic formula notation should be checked.

* `format_value()` gains a `decimal_point` argument, to change the decimal point
  in output conversion.

* `format_bf()` with `stars = TRUE` uses the `°` symbol for inferiority
  (evidence *against* the comparison).

* Added support for `coxph.panel` models.

* Added support for models of class `asym` (package *panelr*).

* Overhaul of documentation for the package-functions.

## Bug fix

* `clean_parameters()` now uses the correct labels for the random effects
  variances (`"SD/Cor"` has changed to `"Var/Cov"`).

* When `get_data()` could not properly evaluate the subset of a data set, it
  now returns an informative warning and no longer errors.

* Fixed inaccuracy in `get_sigma()` for models of class *brmsfit*.

* Fixed issues in `get_variance()`  for models of class *brmsfit* when the
  sigma-parameter was directly modeled.

* Fixed issue in `compact_character()` and `compact_list()` for date-variables.

* Fixed edge case in `find_transformation()` for simple log-transformation of
  the response variable.

* Fixed issue for `model_info.averaging()`.