Log message:
(math/Rinsite) Updated 0.19.3 to 0.19.7
# insight 0.19.7
## General
* Support for objects of class `ggcomparisons` from
`ggeffects::hypothesis_test()`.
* `brms::gr()` is now supported, meaning that functions like
`get_data()` or `find_predictors()` now also work for models with
groupspecific random effects.
* Fix CRAN check issues due to the last *fixest* update.
## Changes to functions
* `get_varcov()` for models of class `pgmm` (package *plm*) now also
supported robust variancecovariance matrices (i.e. argument
`vcov`).
## Bug fixes
* Fixed issue in `find_predictors()` for survival models with `strata()`,
containing more that one variable.
* Fixed issue in `model_info()`, where in some cases logistic
regression models were erroneously considered as `"bernoulli"`
models.
* Fixed issue in `find_formula()` for models of class `gamlss` when
the `random()` function was used with namespace in the formula
(i.e. `... + gamlss::random()`).
* `model_info()` now detects models with zeroinflation part from package
*glmmTMB* when models have truncatedfamilies but no `ziformula`.
# insight 0.19.6
## General
* Improved documentation for `get_predicted_ci()`.
## Changes to functions
* `model_info()` now recognized ordered beta families.
* `find_formula` and `get_response` for `nestedLogit` models gain a `dichotomies`
argument, to return values for the dichotomies used to fit the model.
## Bug fixes
* `find_transformation()` better detects powertransformation of the response
variable.
* Corrected return value from `find_statistic` for `nnet::multinom()` models.
* `clean_parameters()` did not return the `"clean_parameters"` class \
attributes
for some object. This caused issued in upstream packages.
* Fixed issue in `model_info()`, which did not correctly detect "Bernoulli"
property for some models classes (like `glmmTMB` or `glmerMod`).
# insight 0.19.5
## Bug fixes
* Fixed critical issue with `check_if_installed()` for old R releases.
# insight 0.19.4
## Changes to functions
* `get_predicted()` now accepts `predict = "link"` for gaussian models with
loglink (i.e. `glm(..., family = gaussian("log"))`), to return \
predictions
on the link scale.
* `check_if_installed()` now automatically checks the package
DESCRIPTION file to determine the correct minimum version required.
## Bug fixes
* Fixed issue with invalid multibyte strings in `trim_ws()`.
* Fixed issue in `find_statistic()` for models from package *fixest*.

Log message:
(math/Rinsight) Updated 0.17.1 to 0.19.2
# insight 0.19.2
## Breaking changes
* The minimum needed R version has been bumped to `3.6`.
* `download_model()` no longer errors when a model object could not be downloaded,
but instead returns `NULL`. This prevents test failures, and allows to skip
tests when the return value of `download_model()` is `NULL`.
## General
* Improved support for `mclogit` models (package *mclogit*) and `mipo` objects
(package *mice*) for models with ordinal or categorical response.
## New supported models
* `phylolm` and `phyloglm` (package *phylolm*), `nestedLogit` (package \
*nestedLogit*).
## Bug fixes
* Fixed issue in `get_variance()` for *glmmTMB* models with rank deficient
coefficients.
* Fixed issues in `get_weights()` for `glm` models without weights and `na.action`
not set to default in the model call.
* `clean_names()` now also removes the `relevel()` pattern.
* Fixed issue in `model_info()` for models of class `gamlss`.
* Fixed problems preventing `get_data()` from locating data defined in
nonglobal environments.
* Fixed issue in `get_predicted()` for variables of class numeric matrix created
by `scale()`, which were correctly handled only when `get_data()` failed to
find the data in the appropriate environment.
* Fixed issue in `model_info()` for `gee` models from `binomial` families.
# insight 0.19.1
## New supported models
* `hglm` (package *hglm*).
## Changes to functions
* Minor improvements to `get_data()` for `t.test()`.
* `format_value()` gets a `lead_zero` argument, to keep or drop the leading
zero of a formatted value, as well as arguments `style_positive` and
`style_negative` to style positive or negative numbers.
* `format_table()` now also formats columns named `SGPV` (second generation
pvalues) as pvalues.
* Functions for models of class `clm` (like `find_formula()`, `find_variables()`,
`get_data()` etc.) now also include variables that were defined as `scale` or
`nominal` component.
## Bug fixes
* Fixed issue in `get_data()` for results from `kruskal.test()`.
* Fixed issue in `find_weights()` for models of class `lme` and `gls`.
* Fixed issue in `get_datagrid()` for models with multiple weight variables.
# insight 0.19.0
## New supported models
* `mmrm` (package *mmrm*), `flac` and `flic` (*logistf*)
## Breaking changes
* `get_data()` was revised and now always tries to recover the data that was
used to fit a model from the environment. If this fails, it falls back to
recovering data from the model frame (the former default behaviour).
Futrhermore, the `source` argument can be used to explicitly force the old
behaviour: `source = "mf"` will try to recover data from the model \
frame first,
then possibly falling back to look in the environment.
## New functions
* `n_grouplevels()`, to return random effect groups and number of group levels
for mixed models.
## Changes to functions
* `get_datagrid()` preserves all factor levels for factors that are hold constant
at their reference level. This is required to work together with
`get_modelmatrix()` when calculating standard errors for `get_predicted()`.
## Bug fixes
* Fixed but in `get_modelmatrix()` handling of incomplete factors which
sometimes had downstream implications for numerical results in the uncertainty
estimates produced by `get_predicted()`.
* Fixed minor issues for HTML tables in `export_table()` when model parameters
were grouped.
* Fixed issue with incorrect backtransforming in `get_data()` for models with
logtransformed variables.
* Fixes issue in `compact_list()`.
* `has_single_value()` now returns `FALSE` when the object only has `NA` and
`na.rm = TRUE`.
* Fixed issue in `get_parameters()` for gammodels without smooth terms, or with
only smooth terms and removed intercept.
# insight 0.18.8
## Bug fixes
* Fixed test due to changes in the _performance_ package.
# insight 0.18.7
## General
* Minor revisions to `get_predicted.glmmTMB()` due to changes in behaviour
of `predict.glmmTMB()` for truncatedfamily models since _glmmTMB_ 1.1.5.
* New function `has_single_value()` that is equivalent to `length(unique()) == 1`
(or `n_unique() == 1`) but faster.
## Changes to functions
* `ellipses_info()` now includes an attribute `$is_binomial`, which is `TRUE`
for each model from binomial family.
## Bug fixes
* Fixed behaviour of the `at` argument in `get_datagrid()`.
* Fixed issue for accessing model data in `get_datagrid()` for some edge cases.
# insight 0.18.6
## New supported models
* Support the *logitr* package: `get_data()`, `find_variables()` and more.
## Bug fixes
* Better detection of unicodesupport, to avoid failures when building
vignettes.
* `get_predicted()` now correctly handles variables of class numeric matrix
created by `scale()`, which fixes a bug in `performance::check_model()`
(easystats/performance#432).
* Fixed issue with `iterations` argument in `get_predicted()` with _brms_
models.
# insight 0.18.5
## Breaking
* `get_df(type = "satterthwaite")` for `lmerMod` objects now return \
degrees of
freedom per parameter, and no longer per observation. Use `df_per_obs TRUE`
to return degrees of freedom per observation.
## New functions
* `safe_deparse_symbol()` to only deparses a substituted expressions when
possible,which increases performance in case many calls to
`deparse(substitute())`.
## Changes to functions
* `format_table()` gets a `use_symbols` argument. If `TRUE`, column names that
refer to particular effectsizes (like Phi, Omega or Epsilon) include the \
related unicodecharacter instead of the written name. This only works on \
Windows for
R >= 4.2, and on OS X or Linux for R >= 4.0.
* The `stars` argument in `format_table()` can now also be a character vector,
naming the columns that should include stars for significant values. This is
especially useful for Bayesian models, where we might have multiple columns
with significant values, e.g. `"BF"` for the Bayes factor or \
`"pd"` for the
probability of direction.
* `get_df()` gets more `type` options to return different type of degrees of
freedom (namely, `"wald"` and `"normal"`, and for mixed \
models, `"ml1"`,
`"betwithin"`, `"satterthwaite"` and \
`"kenwardroger"`).
* `standardize_names()` now recognized more classes from package _marginaleffects_.
* Minor improvements to `find_parameters()` for models with nonlinear formula.
* Minor speed improvements.
## Bug fixes
* Fixed issue in `get_data()` for models of class `plm`, which accidentally
converted factors into character vectors.
* Fixed issue with column alignment in `export_table()` when the data frame
to print contained unicodecharacters longer than 1 byte.
* Correctly extract predictors for `fixest::i(f1, i.f2)` interactions (#649 by
@grantmcdermott).
# insight 0.18.4
## Changes to functions
* `model_info()` now includes information for `htest` objects from
`shapiro.test()` and `bartlett.test()` (will return `$is_variancetest = TRUE`).
## Bug fixes
* Fixed issue in `get_data()` which did not correctly backtransform to original
data when terms had logtransformations such as `log(1 + x)` or `log(x + 1)`.
* Fixed CRAN check issues.
# insight 0.18.3
## New functions
* `format_alert()`, `format_warning()` and `format_error()`, as convenient
wrappers around `message()`, `warning()` or `stop()` in combination with
`format_message()`. You can use these funcionts to format messages, warnings
or errors.
## Changes to functions
* `get_predicted()` for models of class `clm` now includes confidence intervals
of predictions.
* `format_message()` gets some additional formatting features. See 'Details'
in `?format_message` for more information and some current limitations.
* `format_message()` gets an `indent` argument, to specify indention string
for subsequent lines.
* `format_table()` now merges IC and IC weights columns into one column (e.g.,
former columns `"AIC"` and `"AIC_wt"` will now be printed \
as one column, named
`"AIC (weights)"`). Furthermore, an `ic_digits` argument was added \
to control
the number of significant digits for the IC values.
* `print_color()` and `color_text()` now support bright variants of colors and
background colors.
* `get_datagrid()` gets more options for `at` and `range`, to provide more
control how to generate the reference grid.
* `get_data()` for models of class `geeglm` and `fixest`now more reliably
retrieves the model data.
## New supported models
* Support for models of class `mblogit` and `mclogit`.
## Bug fixes
* Fixed issues with wrong attribute `adjusted_for` in `insight::get_datagrid()`.
* Fixed issue (resp. implemented workaround) in `get_data.iv_robust()`, which
failed due to a bug in the _estimatr_ package.
* Fixed issue where `get_predicted()` failed when data contains factors with
only one or incomplete levels.
* Fixed issue in `get_predicted()` for models of class `mlm`.
* Fixed issue where `get_predicted()` failed to compute confidence intervals
of predictions when model contained matrixalike response columns, e.g. a
response variable created with `cbind()`.
# insight 0.18.2
## New functions
* `format_percent()` as shortcut for `format_value(as_percent = TRUE)`.
* `is_converged()`, to check whether a mixed model has converged or not.
## Changes to functions
* `format_table()` gains an `exact` argument, to either report exact or rounded
Bayes factors.
* `get_predicted()` gets a method for models of class `gamlss` (and thereby,
`get_loglikelihood()` now also works for those model classes).
* `get_predicted()` now better handles models of class `polr`, `multinom` and
`rlm`.
## Bug fixes
* Fixed test failures.
* Minor fixes to address changes in other packages.
# insight 0.18.0
## Breaking changes
* The `ci` argument in `get_predicted()` now defaults to `NULL`. One reason was
to make the function faster if confidence intervals are not required, which
was the case for many downstream usages of that function. Please set `ci`
explicitly to compute confidence intervals for predictions.
* `get_data()` no longer returns logical types for numeric variables that have
been converted to logicals onthefly within formulas (like `y ~ as.logical(x)`).
Instead, for each numeric variable that was coerced to logical within a formula
gets a `logical` attribute (set to `TRUE`), and the returned data frame gets
a `logicals` attribute including all names of affected variables.
* `parameters_table()`, the alias for `format_table()`, was removed.
## Changes to functions
* `find_transformation()` and `get_transformation()` now also work for models
where the response was transformed using `log2()` or `log10()`.
## Bug fixes
* `get_sigma()` for models from package _VGAM_ returned wrong sigmaparameter.
* `find_predictors()` for models from package _fixest_ that contained
interaction terms in the endogenous formula part did not correctly return
all instruments.
* Fixed formatting of HTML table footers in `export_table()`.
* Several fixes to `get_predicted()` for models from `mgcv::gam()`.
* The `component` argument in `find_parameters()` for `stanmvreg` models did
not accept the `"location"` value.
* `null_model()` did not consider offsetterms if these were specified inside
formulas.
* Argument `allow.new.levels` was not passed to `predict()` for
`get_predicted.glmmTMB()`.
* `clean_names()` now works correctly when several variables are specified in
`s()` (#573, @etiennebacher).

Log message:
(math/Rinsight) Updated 0.14.4 to 0.17.1
# Insight 0.17.1
## New supported model classes
* `deltaMethod` (*car*), `marginaleffects`, `marginaleffects.summary`
(*marginaleffects*)
## General
* `get_predicted()` now supports models of class `iv_robust` and `ivreg`.
* For `get_predicted()`, when both `type` and `predict` are given, `type`
will overwrite `predict`. Note that this will print a message, because
`predict` is the preferred argument.
* `get_varcov()` gains `vcov` and `vcov_args` arguments, to specify the
variancecovariance matrix used to compute uncertainty estimates (e.g., for
robust standard errors).
* `get_loglikehood()` improved handling of models from package *estimator*.
## Bug fixes
* Fixed bug in `get_data()` for model objects whose data needs to be recovered
from the environment, and where the data name was a reserved word (e.g., named
like an R function).
* The matrix returned by `get_varcov()` for models of class *bife* now returns
row and column names.
* `find_offset()` did not find offsetterms for `merMod` objects when the
offset was specified as `offset` argument in the function call.
# insight 0.17.0
## Breaking changes
* Arguments `vcov_estimation` and `vcov_type` in `get_predicted()`,
`get_predicted_se()` and `get_predicted_ci()` are replaced by `vcov` and
`vcov_args`, to have a more simplified and common interface to control
robust covariance matrix estimation.
## General
* Improved performance for various functions, in particular `get_data()` and
`model_info()`.
## New functions
* To check for names: `object_has_names()` and `object_has_rownames()`
* To work with lists: `is_empty_object()` and `compact_list()`
* To work with strings: `compact_character()`
* Further utility functions are `safe_deparse()`, `trim_ws()` and `n_unique()`.
## Changes to functions
* `export_table()` now better checks for invalid values of caption and footer
for tables in HTML format, and silently removes, e.g., ansicolour codes that
only work for textformat.
* `get_data.coxph()` returns the original data frame instead of data with type
coercion.
* `get_loglikelihood()` gets a `check_response` argument, to check if a model
has a transformed response variable (like `log()` or `sqrt()` transformation),
and if so, returns a corrected loglikelihood.
* `get_modelmatrix()` now supports *BayesFactor* models.
* `get_loglikelihood()` and `get_df()` now support more model classes.
* `get_predicted()` was improved for multinomial models from *brms*.
* `get_variance()` was improved to cover more edge cases of (more complex)
random effect structures.
* `get_data()` now includes variables in the returned data frame that were
used in the `subset` argument of regression functions (like `lm()`).
* In some edge cases, where `get_data()` is unable to retrieve the data that
was used to fit the model, now a more informative error is printed.
* `ellipses_info()` now also accepts a list of model objects, is more stable
and returns more information about the provided models (like if all fixed
or random effects are the same across models, if all models are mixed models
or nullmodels, etc.)
* `check_if_installed()` now works interactively and lets the user prompt
whether to automatically update or install packages.
## Bug fixes
* Fixed incorrect column name conversion in `standardize_names()` for certain
columns returned by `broom::glance()`.
* Fixed issue with correctly detecting Tweediemodels in `model_info()`.
* Fixed issue with `get_datagrid()` for *brms* models with monotonic factors.
* Fixed issue in `find_formula()` when argument `correlation` was defined
outside of `lme()` and `gls()` (@etiennebacher, #525).
* Fixed issue with `get_data()` when backtransforming data from predictors
that used `cos()`, `sin()` or `tan()` transformations.
# insight 0.16.0
## New functions
* `get_datagrid()`, to generate a reference grid, usually used when computing
adjusted predictions or marginal means from regression models.
## Changes to functions
### `get_predicted()`
* `get_predicted()` was revised. Beside the four core options for the `predict`
argument, it is now also possible to use any value that is valid for the
model's `predict()` method's `type` argument.
* `get_predicted()` now supports more models (e.g., from packages like
_GLMMadaptive_ or _survival_).
* `get_predicted()` is now more robust when calculating standard errors of
predictions.
### Other functions
* `get_statistic()` and `find_statistic()` now support *htest* objects.
## General
* Various minor improvements.
# insight 0.15.1
## General
* Improved speed performance, especially for `get_data()`.
## Changes to functions
* `get_data()` for `coxph` models now returns the original factor levels for
variables transformed with `strata()` inside formulas.
# insight 0.15.0
## Breaking changes
* Data management functions (like `reshape_longer()`, or `data_match()`) have
been moved to the *datawizard* package.
* `get_data()` no longer returns factor types for numeric variables that have
been converted to factors onthefly within formulas (like `y ~ as.factor(x)`).
Instead, for each numeric variable that was coerced to factor within a formula
gets a `factor` attribute (set to `TRUE`), and the returned data frame gets
a `factors` attribute including all names of affected variables.
## New supported model classes
* Support for `bfsl` (*bfsl*)
## New functions
* New `standardize_column_order()` function can be used to standardize the
column order in output dataframes.
## General
* Improved speed performance for some functions.
* Improved handling of table captions and footers in `export_table()`. See also
the new vignette on exporting data frames into human readable tables here:
https://easystats.github.io/insight/articles/export.html
* Revised `width` argument in `export_table()`, which now allows to set
different column widths across table columns. See examples in
`?export_table`.
* `export_table()` gets a `table_width` argument to split wide tables into
two parts.
* `get_varcov()` for `MixMod` (package *GLMMadaptive*) was revised, and now
allows to return a robust variancecovariance matrix.
* Added more `get_df()` methods.
## Bug fixes
* Fixed issues with manual sigma computation to handle dispersion models in
`get_sigma()`.
* Fixed issue in `find_formula()` for `BayesFactor::lmBF()` with multiple random
effects.
* Fixed issue in `get_parameters.BFBayesFactor()` with wrong sign of difference
estimate for ttests.
* Argument `width` in `format_value()` was ignored when formatting integer
values and `protect_integers` was set to `TRUE`.
# insight 0.14.5
## New functions
* `find_transformation()` and `get_transformation()` to find or get any function
that was used to transform the response variable in a regression model.
## General
* Improved support for models of class `sampleSelection`.
* Improved documentation.
* `get_modelmatrix()` now supports: `rms::lrm`
* `get_predicted()` supports: `MASS::polr`, `MASS::rlm`, `rms::lrm`, `fixest`,
`bife::bife`, `ordinal::clm`.
* `get_predicted()` standard errors are often much faster to compute.
* `get_predicted()` supports models with "grouped" or \
"level" outcomes (e.g.,
multinomial logit).
* `get_predicted()` handles factors better.
* Improved documentation
## Changes to functions
* `check_if_installed()` gains a `quietly` argument, if neither stopping nor a
warning message for noninstalled packages is requested.
* `get_predicted()`'s `predict` argument now accepts these values: "link",
"expectation", "prediction", "classification", \
or NULL.
* `get_predicted()` accepts `predict=NULL`, which allows users to push a `type`
argument through the `...` ellipsis, forward to the `predict()` method of the
modelling package.
## Bug fixes
* Fixed issue with parameter names from *emmeans* objects in
`get_parameters()`.
* Fixed issues with unknown arguments in `get_predicted()`.

Log message:
(math/Rinsight) import Rinsight0.14.4
A tool to provide an easy, intuitive and consistent access to
information contained in various R models, like model formulas, model
terms, information about random effects, data that was used to fit the
model or data from response variables. 'insight' mainly revolves
around two types of functions: Functions that find (the names of)
information, starting with 'find_', and functions that get the
underlying data, starting with 'get_'. The package has a consistent
syntax and works with many different model objects, where otherwise
functions to access these information are missing.
