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# parameters 0.15.0

## Breaking changes

* Following functions were moved to the new *datawizard* package and are now
  re-exported from *parameters* package:

  - `center()`

  - `convert_data_to_numeric()`

  - `data_partition()`

  - `demean()` (and its aliases `degroup()` and `detrend()`)

  - `kurtosis()`

  - `rescale_weights()`

  - `skewness()`

  - `smoothness()`

Note that these functions will be removed in the next release of *parameters*
package and they are currently being re-exported only as a convenience for the
package developers. This release should provide them with time to make the
necessary changes before this breaking change is implemented.

* Following functions were moved to the *performance* package:

  - `check_heterogeneity()`

  - `check_multimodal()`

## General

* The handling to approximate the degrees of freedom in `model_parameters()`, 
  `ci()` and `p_value()` was revised and should now be more consistent. Some
  bugs related to the previous computation of confidence intervals and p-values
  have been fixed. Now it is possible to change the method to approximate 
  degrees of freedom for CIs and p-values using the `ci_method`, resp. `method`
  argument. This change has been documented in detail in `?model_parameters`, 
  and online here: https://easystats.github.io/parameters/reference/model_parameters.html

* Minor changes to `print()` for *glmmTMB* with dispersion parameter.

* Added vignette on printing options for model parameters.

## Changes to functions

### `model_parameters()`

* The `df_method` argument in `model_parameters()` is deprecated. Please use
  `ci_method` now.

* `model_parameters()` with `standardize = "refit"` now returns random effects
  from the standardized model.

* `model_parameters()` and `ci()` for `lmerMod` models gain a `"residuals"`
  option for the `ci_method` (resp. `method`) argument, to explicitly calculate
  confidence intervals based on the residual degrees of freedom, when present.

* `model_parameters()` supports following new objects:
  `trimcibt`, `wmcpAKP`, `dep.effect` (in *WRS2* package), `systemfit`

* `model_parameters()` gains a new argument `table_wide` for ANOVA tables. This
  can be helpful for users who may wish to report ANOVA table in wide format
  (i.e., with numerator and denominator degrees of freedom on the same row).

* `model_parameters()` gains two new arguments, `keep` and `drop`. `keep` is the
  new names for the former `parameters` argument and can be used to filter
  parameters. While `keep` selects those parameters whose names match the
  regular expression pattern defined in `keep`, `drop` is the counterpart and
  excludes matching parameter names.

* When `model_parameters()` is called with `verbose = TRUE`, and `ci_method` is
  not the default value, the printed output includes a message indicating which
  approximation-method for degrees of freedom was used.

* `model_parameters()` for mixed models with `ci_method = "profile` computes 
  (profiled) confidence intervals for both fixed and random effects. Thus, 
  `ci_method = "profile` allows to add confidence intervals to the random
  effect variances.

* `model_parameters()` should longer fail for supported model classes when
  robust standard errors are not available.

### Other functions

* `n_factors()` the methods based on fit indices have been fixed and can be 
  included separately (`package = "fit"`). Also added a `n_max` argument to 
  crop the output.  

* `compare_parameters()` now also accepts a list of model objects.

* `describe_distribution()` gets `verbose` argument to toggle warnings and
  messages.

* `format_parameters()` removes dots and underscores from parameter names, to
  make these more "human readable".

* The experimental calculation of p-values in `equivalence_test()` was 
  replaced by a proper calculation p-values. The argument `p_value` was removed
  and p-values are now always included.

* Minor improvements to `print()`, `print_html()` and `print_md()`.

## Bug fixes

* The random effects returned by `model_parameters()` mistakenly displayed the
  residuals standard deviation as square-root of the residual SD.

* Fixed issue with `model_parameters()` for *brmsfit* objects that model
  standard errors (i.e. for meta-analysis).

* Fixed issue in `model_parameters` for `lmerMod` models that, by default,
  returned residual degrees of freedom in the statistic column, but confidence
  intervals were based on `Inf` degrees of freedom instead.

* Fixed issue in `ci_satterthwaite()`, which used `Inf` degrees of freedom 
  instead of the Satterthwaite approximation.

* Fixed issue in `model_parameters.mlm()` when model contained interaction
  terms.

* Fixed issue in `model_parameters.rma()` when model contained interaction
  terms.

* Fixed sign error for `model_parameters.htest()` for objects created with
  `t.test.formula()` (issue #552)

* Fixed issue when computing random effect variances in `model_parameters()` 
  for mixed models with categorical random slopes.

# parameters 0.14.0

## Breaking changes

* `check_sphericity()` has been renamed into `check_sphericity_bartlett()`.

* Removed deprecated arguments.

* `model_parameters()` for bootstrapped samples used in *emmeans* now treats the
  bootstrap samples as samples from posterior distributions (Bayesian models).

## New supported model classes

* `SemiParBIV` (*GJRM*), `selection` (*sampleSelection*), `htest` from the
  *survey* package, `pgmm` (*plm*).

## General

* Performance improvements for models from package *survey*.

## New functions

* Added a `summary()` method for `model_parameters()`, which is a convenient
  shortcut for `print(..., select = "minimal")`.

## Changes to functions

### `model_parameters()`

* `model_parameters()` gains a `parameters` argument, which takes a regular
  expression as string, to select specific parameters from the returned data
  frame.

* `print()` for `model_parameters()` and `compare_parameters()` gains a `groups`
  argument, to group parameters in the output. Furthermore, `groups` can be used
  directly as argument in `model_parameters()` and `compare_parameters()` and
  will be passed to the `print()` method.

* `model_parameters()` for ANOVAs now saves the type as attribute and prints
  this information as footer in the output as well.

* `model_parameters()` for *htest*-objects now saves the alternative hypothesis
  as attribute and prints this information as footer in the output as well.

* `model_parameters()` passes arguments `type`, `parallel` and `n_cpus` down to
  `bootstrap_model()` when `bootstrap = TRUE`.

### other

* `bootstrap_models()` for *merMod* and *glmmTMB* objects gains further
  arguments to set the type of bootstrapping and to allow parallel computing.

* `bootstrap_parameters()` gains the `ci_method` type `"bci"`, to compute
  bias-corrected and accelerated bootstrapped intervals.

* `ci()` for `svyglm` gains a `method` argument.

## Bug fixes

* Fixed issue in `model_parameters()` for *emmGrid* objects with Bayesian
  models.

* Arguments `digits`, `ci_digits` and `p_digits` were ignored for `print()` and
  only worked when used in the call to `model_parameters()` directly.

# parameters 0.13.0

## General

* Revised and improved the `print()` method for `model_parameters()`.

## New supported model classes

* `blrm` (*rmsb*), `AKP`, `med1way`, `robtab` (*WRS2*), `epi.2by2` (*epiR*),
  `mjoint` (*joineRML*), `mhurdle` (*mhurdle*), `sarlm` (*spatialreg*),
  `model_fit` (*tidymodels*), `BGGM` (*BGGM*), `mvord` (*mvord*)

## Changes to functions

### `model_parameters()`

* `model_parameters()` for `blavaan` models is now fully treated as Bayesian
  model and thus relies on the functions from *bayestestR* (i.e. ROPE, Rhat or
  ESS are reported) .

* The `effects`-argument from `model_parameters()` for mixed models was revised
  and now shows the random effects variances by default (same functionality as
  `random_parameters()`, but mimicking the behaviour from
  `broom.mixed::tidy()`). When the `group_level` argument is set to `TRUE`, the
  conditional modes (BLUPs) of the random effects are shown.

* `model_parameters()` for mixed models now returns an `Effects` column even
  when there is just one type of "effects", to mimic the behaviour from
  `broom.mixed::tidy()`. In conjunction with `standardize_names()` users can get
  the same column names as in `tidy()` for `model_parameters()` objects.

* `model_parameters()` for t-tests now uses the group values as column names.

* `print()` for `model_parameters()` gains a `zap_small` argument, to avoid
  scientific notation for very small numbers. Instead, `zap_small` forces to
  round to the specified number of digits.

* To be internally consistent, the degrees of freedom column for `lqm(m)` and
  `cgam(m)` objects (with *t*-statistic) is called `df_error`.

* `model_parameters()` gains a `summary` argument to add summary information
  about the model to printed outputs.

* Minor improvements for models from *quantreg*.

* `model_parameters` supports rank-biserial, rank epsilon-squared, and Kendall's
  *W* as effect size measures for `wilcox.test()`, `kruskal.test`, and
  `friedman.test`, respectively.

### Other functions

* `describe_distribution()` gets a `quartiles` argument to include 25th and 75th
  quartiles of a variable.

## Bug fixes

* Fixed issue with non-initialized argument `style` in `display()` for
  `compare_parameters()`.

* Make `print()` for `compare_parameters()` work with objects that have "simple"
  column names for confidence intervals with missing CI-level (i.e. when column
  is named `"CI"` instead of, say, `"95% CI"`).

* Fixed issue with `p_adjust` in `model_parameters()`, which did not work for
  adjustment-methods `"BY"` and `"BH"`.

* Fixed issue with `show_sigma` in `print()` for `model_parameters()`.

* Fixed issue in `model_parameters()` with incorrect order of degrees of
  freedom.

# parameters 0.12.0

## General

* Roll-back R dependency to R >= 3.4.

* Bootstrapped estimates (from `bootstrap_model()` or `bootstrap_parameters()`)
  can be passed to `emmeans` to obtain bootstrapped estimates, contrasts, simple
  slopes (etc) and their CIs.

  * These can then be passed to `model_parameters()` and related functions to
    obtain standard errors, p-values, etc.

## Breaking changes

* `model_parameters()` now always returns the confidence level for as additional
  `CI` column.

* The `rule` argument in `equivalenct_test()` defaults to `"classic"`.

## New supported model classes

* `crr` (*cmprsk*), `leveneTest()` (*car*), `varest` (*vars*), `ergm` (*ergm*),
  `btergm` (*btergm*), `Rchoice` (*Rchoice*), `garch` (*tseries*)

## New functions

* `compare_parameters()` (and its alias `compare_models()`) to show / print
  parameters of multiple models in one table.

## Changes to functions

* Estimation of bootstrapped *p*-values has been re-written to be more
  accurate.

* `model_parameters()` for mixed models gains an `effects`-argument, to return
  fixed, random or both fixed and random effects parameters.

* Revised printing for `model_parameters()` for *metafor* models.

* `model_parameters()` for *metafor* models now recognized confidence levels
  specified in the function call (via argument `level`).

* Improved support for effect sizes in `model_parameters()` from *anova*
  objects.

## Bug fixes

* Fixed edge case when formatting parameters from polynomial terms with many
  degrees.

* Fixed issue with random sampling and dropped factor levels in
  `bootstrap_model()`.

# parameters 0.11.0

## New supported model classes

* `coxr` (*coxrobust*), `coeftest` (*lmtest*), `ivfixed` (*ivfixed*), `ivprobit`
  (*ivprobit*), `riskRegression` (*riskRegression*), `fitdistr` (*MASS*),
  `yuen`, `t1way`, `onesampb`, `mcp1` and `mcp2` (*WRS2*), `Anova.mlm` (*car*),
  `rqs` (*quantreg*), `lmodel2` (*lmodel2*), `summary.lm`, `PMCMR`, `osrt` and
  `trendPMCMR` (*PMCMRplus*), `bamlss` (*bamlss*).

## New functions

### Printing and table Formatting

* `print_html()` as an alias for `display(format = "html")`. This allows to
  print tabular outputs from data frames (as returned by most functions in
  _parameters_) into nicely rendered HTML markdown tables.

## Changes to functions

* Added more effect size measures to `model_parameters()` for `htest` objects.

* `model_parameters()` for anova objects gains a `power` argument, to calculate
  the power for each parameter.

* `ci()` for models from *lme4* and *glmmTMB* can now computed profiled
  confidence intervals, using `method = "profile"`. Consequently,
  `model_parameters()` with `df_method = "profile"` also computes profiled
  confidence intervals. For models of class `glmmTMB`, option `"uniroot"` is
  also available.

## Bug fixes

* `model_parameters()` for t-tests when `standardize_d = TRUE`, did not return
  columns for the group-specific means.

* Fixed issue in `p_value()` for `fixest::feols()`.

* Fixed issue in `model_parameters()` for `glmer()` models with p-values that
  were calculated with `df_method = "ml1"` or `df_method = "betwithin"`.

* Fixed issue in `model_parameters()` for multinomial models when response was a
  character vector (and no factor).

* Fixed issue in `print_md()` for model-parameters objects from Bayesian
  models.

* Fixed issues with printing of model parameters for multivariate response
  models from *brms*.

* Fixed issue with paired t-tests and `model_parameters()`.

# parameters 0.10.1

## New functions

* `format_p_adjust()`, to create pretty names for p-adjustment methods.

## Bug fixes

* Fixed breaking code / failing tests due to latest _effectsize_ update.

* Fixed issue with `model_parameters()` for models of class `mlm`.

* Undocumented arguments `digits`, `ci_digits` and `p_digits` worked for
  `print()`, but not when directly called inside `model_parameters()`. Now,
  `model_parameters(model, digits = 5, ci_digits = 8)` works again.

* Fixed some minor printing-issues.

# parameters 0.10.0

## Breaking changes

* The default-method for effect sizes in `model_parameters()` for Anova-models
  (i.e. when arguments `omega_squared`, `eta_squared` or `epsilon_squared` are
  set to `TRUE`) is now `"partial"`, as initially intended.

* Column names for degrees of freedom were revised. `"df_residual"` was replaced
  by the more generic `"df_error"`. Moreover, models of class `htest` now also
  have the column name `"df_error"` and no longer `"df"` (where applicable).

* Some re-exports for functions that were moved to *insight* longer ago, were
  now removed.

## New supported model classes

* `Glm` (*rms*), `mediate` (*mediation*).

* `model_parameters()` supports `Gam` models (*gam*), `ridgelm` (*MASS*),
  `htest` objects from `oneway.test()`, `chisq.test()`, `prop.test()`,
  `mcnemar.test()` and `pairwise.htest` objects, `mcmc.list` (e.g. from
  *bayesGARCH*).

## New functions

### Printing and table Formatting

* `display()`, to format output from package-functions into different formats.

* `print_md()` as an alias for `display(format = "markdown")`. This allows to
  print tabular outputs from data frames (as returned by most functions in
  _parameters_) into nicely rendered markdown tables.

* `format()`, to create a "pretty data frame" with nicer column names and
  formatted values. This is one of the worker-functions behind `print()` or
  `print_md()`.

## Changes to functions

### `model_parameters()`

* `model_parameters()` for Anova-models (of class `aov`, `anova` etc.) gains a
  `ci`-argument, to add confidence intervals to effect size parameters.

* `model_parameters()` for `htest` objects gains a `cramers_v` and `phi`
  argument, to compute effect size parameters for objects from `chisq.test()`,
  and a `standardized_D` argument, to compute effect size parameters for objects
  from `t.test()`.

* `model_parameters()` for `metafor`-models is more stable when called from
  inside functions.

* `model_parameters()` for *metaBMA*-models now includes prior information for
  the meta-parameters.

* `model_parameters()` for meta-analysis-models gains a
  `include_studies`-argument, to include or remove studies from the output.

* `model_parameters()` for gam-models now includes the residual df for smooth
  terms, and no longer the reference df.

* Slightly revised and improved the `print()` method for `model_parameters()`.

### Other functions

* `describe_distribution()` now includes the name of the centrality index in the
  `CI`-column, when `centrality = "all"`.

* `pool_parameters()` gains a `details`-argument. For mixed models, and if
  `details = TRUE`, random effect variances will also be pooled.

## Bug fixes

* Fixed issue in `ci()` for *lme* models with non-positive definite
  variance-covariance.

* Fixed issue in `model_parameters()` for `nnet::multinom()`, `lqmm::lqm()`,
  `mgcv::gam()`, and `margins::margins()` models, and models from package
  *blme*.

# parameters 0.9.0

## New supported model classes

* Support for `maov` (*stats*), `HLfit` (*spaMM*), `scam` (*scam*), preliminary
  support for `emm_list` (*emmeans*), `merModList` (*merTools*), `meta_random`,
  `meta_bma` and `meta_fixed` (*metaBMA*).

## New functions

* `pool_parameters()`, to pool parameters estimates from multiple models.

* `degroup()`, as a more generic case for `demean()`.

* `center()`, to center variables.

## General

* Better support for (weighted) multivariate response models of class `mlm` for
  functions like `model_parameters()` or `simulate_parameters()`.

* `standardize_names()` is now re-exported from the *insight* package.

## Changes to functions

### Printing model parameters

* `print()` for `model_parameters()` now names the coefficients column depending
  on the model type (i.e. `"Odds Ratios"` for logistic regression when
  `exponentiate = TRUE` etc.)

* `print()` for `model_parameters()` gains a `show_sigma` argument, to show or
  hide information on the residual standard deviation.

* `print()` for `model_parameters()` displays a message for Bayesian models,
  indicating which method to compute credible intervals was used.

### Other changes

* `data_partition()` gets a `seed` argument, to explicitly set the seed before
  random sampling of test and training data.

* Revised `parameters_table()`, to improve readability of printed output.

## Bug fixes

* Fixed issues in `model_parameters()` for *vgam* and *mira* objects.

* Fixed issue where `model_parameters()` for *emmGrid* objects falsely removed
  the `Coefficient` column.

* Fixed issue in `parameters_type()` for factors with different effects-coding
  than treatment contrasts.

* Fixed issues due to latest _effectsize_ update.

# parameters 0.8.6

## Bug fixes

* Fixed issues with *glmmTMB* models with dispersion-parameter.

* Fixed issue where `model_parameters()` for *glmmTMB* models falsely removed
  the `Component` column.

* Fixed issue with missing CI columns in `model_parameters()` when `standardize`
  was one of the options except `"refit"`.

* `parameters_type()` did not correctly detect interaction terms for specific
  patterns like `scale()` included in the interaction.

# parameters 0.8.5

## General

* Added vignette on model parameters and missing data.

* Update citation.

## New supported model classes

* Support for `mipo` (*mice*), `lqm` and `lqmm` (*lqmm*). Preliminary support
  for `semLME` (*smicd*), `mle2` (*bbmle*), `mle` (*stats4*)

* `model_parameters()` for objects of class `mira` (*mice*).

## Changes to functions

* `model_parameters()` gets a specific behaviour for brms-meta-analysis models.

* `model_parameters()` for *lavaan* and *blavaan* now also prints self-defined
  parameters.

* `model_parameters()` for *lavaan* and *blavaan* gains more option for
  standardized parameters.

## Bug fixes

* Fix issue in `model_parameters()` for `coxph.penal` models.

* Fix issue in `model_parameters.metaplus()` with random effects.

* Fix issue in `check_heterogeneity()` when `x` was a mixed model.

* Fix issue in `check_heterogeneity()` for data with missing values.

* Fix issue in `dof_ml1()` when random-effect terms where character vectors.

* Fix issue in `print()` method for `model_parameters()` that printed empty
  lines for rows with complete missing values. Empty lines are now removed.

* Fix issue in `parameters_type()` when `exp()` was used in a model formula.

# parameters 0.8.2

## New supported models

* `metaplus` (*metaplus*), `glht` (*multcomp*), `glmm` (*glmm*), `manova`
  (*stats*), `crq` and `crqs` (*quantreg*)

* Improved support for models from the *rms* package.

## Changes to functions

* Improved parameters formatting for ordered factors in `model_parameters()`
  (and `format_parameters()`).

* Argument `df_method` can now also be applied to GLMs, to allow calculation of
  confidence intervals based on Wald-approximation, not profiled confidence
  intervals. This speeds up computation of CIs for models fit to large data
  sets.

* Improved `select_parameters()` for mixed models, and revised docs and
  associated vignette.

## Bug fixes

* Allow `threshold` to be passed to `efa_to_cfa()` when the model is from
  `factor_analysis()`.

* Allow correlation matrix to be passed to `factor_analysis()`.

* Fix CRAN check issues.

* Fix issue in `model_parameters()` for models with non-estimable parameters or
  statistics.

* Fix issue in `model_parameters()` for *plm* models with only one parameter.

* Fix issue in `check_heterogeneity()` in case no predictor would cause
  heterogeneity bias.

* Make sure *clubSandwich* is used conditionally in all places, to properly pass
  CRAN checks.

# parameters 0.8.0

## New supported models

* `robmixglm` (*robmixglm*), `betaor`, `betamfx`, `logitor`, `poissonirr`,
  `negbinirr`, `logitmfx`, `probitmfx`, `poissonmfx`, `negbinmfx` (*mfx*),
  partial support `emmGrid` (*emmeans*)

## Changes to functions

### `simulate_parameters()` and `simulate_model()`

* has a nicer `print()` method.

* now also simulate parameters from the dispersion model for *glmmTMB* objects.

* gets a `verbose` argument, to show or hide warnings and messages.

## Bug fixes

* fix issue with rank deficient models.

# parameters 0.7.0

## General

* We changed the computation of confidence intervals or standard errors, so
  these are now based on a t-distribution with degrees of freedom and not normal
  distribution assuming infinite degrees of freedom. This was implemented for
  most functions before and only affects few functions (like
  `equivalence_test()` or CIs for standardized parameters from
  `model_parameters()` when standardization method was `"posthoc"`).

## New supported models

* `averaging` (*MuMIn*), `bayesx` (*R2BayesX*), `afex_aov` (*afex*)

## New functions

* `check_heterogeneity()` as a small helper to find variables that have a
  within- and between-effect related to a grouping variable (and thus, may
  result in heterogeneity bias, see [this
  vignette](https://easystats.github.io/datawizard/articles/demean.html)).

## Changes to functions

### `equivalence_test()`

* gains a `rule` argument, so equivalence testing can be based on different
  approaches.

* for mixed models gains an `effect` argument, to perform equivalence testing on
  random effects.

* gains a `p_values` argument, to calculate p-values for the equivalence test.

* now supports more frequentist model objects.

### `describe_distribution()`

* now works on grouped data frames.

* gains `ci` and `iterations` arguments, to compute confidence intervals based
  on bootstrapping.

* gains a `iqr` argument, to compute the interquartile range.

* `SE` column was removed.

### `model_parameters()`

* `model_parameters()` for Stan-models (*brms*, *rstanarm*) gains a
  `group_level` argument to show or hide parameters for group levels of random
  effects.

* Improved accuracy of confidence intervals in `model_parameters()` with
  `standardize = "basic"` or `standardize = "posthoc"`.

* `model_parameters.merMod()` no longer passes `...` down to bootstrap-functions
  (i.e. when `bootstrap = TRUE`), as this might conflict with
  `lme4::bootMer()`.

* For ordinal models (like `MASS::polr()` or `ordinal::clm()`), a `Component`
  column is added, indicating intercept categories (`"alpha"`) and estimates
  (`"beta"`).

* The `select`-argument from `print.parameters_model()` now gets a
  `"minimal"`-option as shortcut to print coefficients, confidence intervals and
  p-values only.

### Other changes

* `parameters_table()` and `print.parameters_model()` now explicitly get
  arguments to define the digits for decimal places used in output.

* `ci()`, `standard_error()`, `p_value()` and `model_parameters()` for *glmmTMB*
  models now also works for dispersion models.

## Bug fixes

* Fixed issue in `equivalence_test()` for mixed models.

* Fixed bug for `model_parameters.anova(..., eta_squared = "partial")` when
  called with non-mixed models.

* Fixed issue with wrong degrees of freedom in `model_parameters()` for *gam*
  models.

* Fixed issue with unused arguments in `model_parameters()`.

# parameters 0.6.1

## General

* Remove 'Zelig' from suggested packages, as it was removed from CRAN.

## Changes to functions

### model_parameters()

* `model_parameters()` now also transforms standard errors when `exponentiate =
  TRUE`.

* `model_parameters()` for `anova()` from mixed models can now also compute
  effect sizes like eta squared.

* `model_parameters()` for `aov()` gains a `type`-argument to compute type-1,
  type-2 or type-3 sums of squares.

* `model_parameters()` for Bayesian models gains a `standardize` argument, to
  return standardized parameters from the posterior distribution.

* Improved `print()` method for `model_parameters()` for nested `aov()`
  (repeated measurements).

* You can now control whether `demean()` should add attributes to indicate
  within- and between-effects. This is only relevant for the `print()`-method of
  `model_parameters()`.

## Bug fixes

* Fixed `model_parameters()` for `anova()` from *lmerTest* models.

# parameters 0.6.0

## Breaking changes

- Alias `model_bootstrap()` was removed, please use `bootstrap_model()`.

- Alias `parameters_bootstrap()` was removed, please use
  `bootstrap_parameters()`.

- Alias `model_simulate()` was removed, please use `simulate_model()`.

- Alias `parameters_simulate()` was removed, please use
  `simulate_parameters()`.

- Alias `parameters_selection()` was removed, please use `select_parameters()`.

- Alias `parameters_reduction()` was removed, please use `reduce_parameters()`.

- Functions `DDR()`, `ICA()` and `cmds()` are no longer exported, as these were
  intended to be used internally by `reduce_parameters()` only.

- `skewness()` and `kurtosis()` always return a data frame.

## New supported models

- Added support for `arima` (*stats*), `bife` (*bife*), `bcplm` and `zcpglm`
  (*cplm*)

## Changes to functions

### model_parameters()

- Improved print-method for `model_parameters.brmsfit()`.

- Improved print-method for `model_parameters.merMod()` when fitting REWB-Models
  (see `demean()`).

- Improved efficiency for `model_parameters()` (for linear mixed models) when
  `df_method = "kenward"`.

- `model_parameters()` gets a `p_adjust`-argument, to adjust p-values for
  multiple comparisons.

- Minor improvements for `cluster_analysis()` when `method = "kmeans"` and
  `force = TRUE` (factors now also work for kmeans-clustering).

### p_value(), ci() and standard_error()

- `p_value_kenward()`, `se_kenward()` etc. now give a warning when model was not
  fitted by REML.

- Added `ci()`, `standard_error()` and `p_value()` for *lavaan* and *blavaan*
  objects.

- Added `standard_error()` for *brmsfit* and *stanreg* objects.

### Other changes

- Run certain tests only locally, to reduce duration of CRAN checks.

- `skewness()`, `kurtosis()` and `smoothness()` get an `iteration` argument, to
  set the numbers of bootstrap replicates for computing standard errors.

- Improved print-method for `factor_analysis()`.

- `demean()` now additionally converts factors with more than 2 levels to
  dummy-variables (binary), to mimic *panelr*-behaviour.

## Bug fixes

- Fixed minor issue with the `print()`-method for `model_parameters.befa()`.

- Fixed issues in `model_parameters()` (for linear mixed models) with wrong
  order of degrees of freedom when `df_method` was different from default.

- Fixed issues in `model_parameters()` (for linear mixed models) with accuracy
  of p-values when `df_method = "kenward`.

- Fixed issues in `model_parameters()` with wrong test statistic for
  *lmerModLmerTest* models.

- Fixed issue in `format_parameters()` (which is used to format output of
  `model_parameters()`) for factors, when variable name was also part of factor
  levels.

- Fixed issue in `degrees_of_freedem()` for *logistf*-models, which
  unintentionally printed the complete model summary.

- Fixed issue in `model_parameters()` for *mlm* models.

- Fixed issue in `random_parameters()` for uncorrelated random effects.