- Fixed possible memory allocation issues when the deprecated argument
`at`

was used in`get_datagrid()`

.

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()`

Fixed errors in CRAN checks.

Fixed issues in

`compact_list()`

for objects that contained variables of class`vctrs`

.

- More informative error message for
`get_varcov()`

when the requested`vcov`

-function failed.

- Fixed issue with
`get_data()`

for`coxme`

models when`source`

was set to`"modelframe"`

.

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*.

- Support for models of class
`serp`

(package*serp*).

`standardize_names()`

now also recognizes column`s.value`

from objects of package*marginaleffects*.

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*.

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.

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.

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 group-specific random effects.Fix CRAN check issues due to the last

*fixest*update.

`get_varcov()`

for models of class`pgmm`

(package*plm*) now also supported robust variance-covariance matrices (i.e. argument`vcov`

).

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 zero-inflation part from package*glmmTMB*when models have truncated-families but no`ziformula`

.

- Improved documentation for
`get_predicted_ci()`

.

`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.

`find_transformation()`

better detects power-transformation 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`

).

- Fixed critical issue with
`check_if_installed()`

for old R releases.

`get_predicted()`

now accepts`predict = "link"`

for gaussian models with log-link (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.

Fixed issue with invalid multibyte strings in

`trim_ws()`

.Fixed issue in

`find_statistic()`

for models from package*fixest*.

`standardize_column_order()`

has changed the position when re-ordering Bayes factors, ROPEs and ESS / Rhat (mainly relevant for Bayesian models).

`standardize_names()`

and`standardize_column_order()`

now also recognize the`"response.level"`

column name.`get_data()`

for*lavaan*models is now more stable at retrieving model data when this is not available in the environment.`find_terms()`

gets an`as_term_labels`

argument, to extract model terms from the formula’s`"term.labels"`

attribute. This is closer to the behaviour of`stats::terms()`

, but may be insufficient, e.g. for mixed models.

`get_random()`

now returns the same observations as`get_data()`

and correctly removes missing values from the data before returning it.`find_parameters()`

for marginal effects ignores the`"s.value"`

column (which was added in a recent update).Fixed issue in

`get_response()`

for*brms*models with`trunc()`

function in the response variable.

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`

.

- Improved support for
`mclogit`

models (package*mclogit*) and`mipo`

objects (package*mice*) for models with ordinal or categorical response.

`phylolm`

and`phyloglm`

(package*phylolm*),`nestedLogit`

(package*nestedLogit*).

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 non-global 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.

`hglm`

(package*hglm*).

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 p-values) as p-values.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.

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.

`mmrm`

(package*mmrm*),`flac`

and`flic`

(*logistf*)

`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). Furthermore, 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.

`n_grouplevels()`

, to return random effect groups and number of group levels for mixed models.

`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()`

.

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 back-transforming in

`get_data()`

for models with log-transformed 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 gam-models without smooth terms, or with only smooth terms and removed intercept.

- Fixed test due to changes in the
*performance*package.

Minor revisions to

`get_predicted.glmmTMB()`

due to changes in behaviour of`predict.glmmTMB()`

for truncated-family models since*glmmTMB*1.1.5.New function

`has_single_value()`

that is equivalent to`length(unique()) == 1`

(or`n_unique() == 1`

) but faster.

`ellipses_info()`

now includes an attribute`$is_binomial`

, which is`TRUE`

for each model from binomial family.

Fixed behaviour of the

`at`

argument in`get_datagrid()`

.Fixed issue for accessing model data in

`get_datagrid()`

for some edge cases.

- Support the
*logitr*package:`get_data()`

,`find_variables()`

and more.

Better detection of unicode-support, 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.

`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.

`safe_deparse_symbol()`

to only deparses a substituted expressions when possible,which increases performance in case many calls to`deparse(substitute())`

.

`format_table()`

gets a`use_symbols`

argument. If`TRUE`

, column names that refer to particular effectsizes (like Phi, Omega or Epsilon) include the related unicode-character 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`"kenward-roger"`

).`standardize_names()`

now recognized more classes from package*marginaleffects*.Minor improvements to

`find_parameters()`

for models with nonlinear formula.Minor speed improvements.

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 unicode-characters longer than 1 byte.Correctly extract predictors for

`fixest::i(f1, i.f2)`

interactions (#649 by @grantmcdermott).

`model_info()`

now includes information for`htest`

objects from`shapiro.test()`

and`bartlett.test()`

(will return`$is_variancetest = TRUE`

).

Fixed issue in

`get_data()`

which did not correctly backtransform to original data when terms had log-transformations such as`log(1 + x)`

or`log(x + 1)`

.Fixed CRAN check issues.

`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.

`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.

- Support for models of class
`mblogit`

and`mclogit`

.

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 matrix-alike response columns, e.g. a response variable created with`cbind()`

.

`format_percent()`

as short-cut for`format_value(as_percent = TRUE)`

.`is_converged()`

, to check whether a mixed model has converged or not.

`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`

.

Fixed test failures.

Minor fixes to address changes in other packages.

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 on-the-fly 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.

`find_transformation()`

and`get_transformation()`

now also work for models where the response was transformed using`log2()`

or`log10()`

.

`get_sigma()`

for models from package*VGAM*returned wrong sigma-parameter.`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 offset-terms 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).

`deltaMethod`

(*car*),`marginaleffects`

,`marginaleffects.summary`

(*marginaleffects*)

`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 variance-covariance matrix used to compute uncertainty estimates (e.g., for robust standard errors).`get_loglikehood()`

improved handling of models from package*estimator*.

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 offset-terms for`merMod`

objects when the offset was specified as`offset`

argument in the function call.

- 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.

- Improved performance for various functions, in particular
`get_data()`

and`model_info()`

.

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()`

.

`export_table()`

now better checks for invalid values of caption and footer for tables in HTML format, and silently removes, e.g., ansi-colour codes that only work for text-format.`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 log-likelihood.`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 null-models, etc.)`check_if_installed()`

now works interactively and lets the user prompt whether to automatically update or install packages.

Fixed incorrect column name conversion in

`standardize_names()`

for certain columns returned by`broom::glance()`

.Fixed issue with correctly detecting Tweedie-models 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 back-transforming data from predictors that used`cos()`

,`sin()`

or`tan()`

transformations.

`get_datagrid()`

, to generate a reference grid, usually used when computing adjusted predictions or marginal means from regression models.

`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.

`get_statistic()`

and`find_statistic()`

now support*htest*objects.

- Various minor improvements.

- Improved speed performance, especially for
`get_data()`

.

`get_data()`

for`coxph`

models now returns the original factor levels for variables transformed with`strata()`

inside formulas.

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 on-the-fly 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.

- Support for
`bfsl`

(*bfsl*)

- New
`standardize_column_order()`

function can be used to standardize the column order in output dataframes.

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.htmlRevised

`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 variance-covariance matrix.Added more

`get_df()`

methods.

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 t-tests.Argument

`width`

in`format_value()`

was ignored when formatting integer values and`protect_integers`

was set to`TRUE`

.

`find_transformation()`

and`get_transformation()`

to find or get any function that was used to transform the response variable in a regression model.

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

`check_if_installed()`

gains a`quietly`

argument, if neither stopping nor a warning message for non-installed 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.

Fixed issue with parameter names from

*emmeans*objects in`get_parameters()`

.Fixed issues with unknown arguments in

`get_predicted()`

.

- Fixed issues due to latest
*brms*update.

`systemfit`

(*systemfit*)

- Minor improvements for functions that support printing outputs.

`get_predicted()`

gains a new option,`predict = "response"`

for binomial models.Improved stability of

`get_variance()`

when computing random-slope-intercept correlation with categorical random slopes.Improved

`get_priors()`

for*brms*models.

Fixed issue in

`get_data()`

for*brms*models with auxiliary parameters.Fixed issue in

`find_formula()`

for*brms*models with auxiliary parameters.Fixed issue where

`get_data()`

for*htest*objects did not always preserve factors.Fixed issue in

`format_table()`

for ci-levels with longer fractional part.

`check_if_installed()`

gains a`minimum_version`

argument, to check if an installed package is not older than the specified version number.The

`package`

argument in`check_if_installed()`

is now vectorized, so you can check for multiple packages in one function call.Value formatting functions (like

`format_value()`

or`format_ci()`

) can now round to significant digits using`digits = "signif"`

.

Fixed issue in

`model_info()`

with`stan_polr()`

models.Fixed issue in

`find_parameters()`

for*brms*when model contained parameters for the priors on sigma.Fixed issue in

`n_obs()`

for`stats4::mle()`

models.Fixed failing tests due to latest

*fixest*update.Fixed issues due to latest

*epiR*update.

- Added several data management and preparation functions:
`data_to_long()`

,`data_match()`

,`data_relocate()`

,`data_restoretype()`

,`force_numeric()`

.

- Support for
`pgmm`

(*plm*)

- Improved handling of auxiliary parameters for
*stanreg*models.

Stability improvements to

`get_predicted()`

.Fixed issues when accessing information from an

`afex_aov`

model with an empty`aov`

slot (in anticipation for`{afex}`

v.1.0.0).Fixed issue in

`model_info()`

for*stanreg*object with non-standard model-family specification.

- Better support for accessing auxiliary parameters (via
`get_sigma()`

and`get_auxiliary()`

, as well as`get_parameters(component = "all")`

) for`brmsfit`

models.

`get_modelmatrix()`

as a robust alternative to`model.matrix()`

for different model classes.`format_message()`

to format warnings and messages by adjusting the maximum line_length, possibly to the width of the console window.`format_string()`

to shorten a string to a maximum length.`check_if_installed()`

to see if the needed package is installed.

- Support for
`mvord`

(*mvord*),`SemiParBIV`

(*GJRM*),`selection`

(*sampleSelection*)

`find_formula()`

now warns when data name is present in formula, since this can result in unexpected behaviour in other package functions.`model_info()`

returns`is_bernoulli = TRUE`

for Bernoulli models.Add

`get_statistic()`

for*lavaan*models.`get_df()`

supports more models/objects.`get_sigma()`

supports more models/objects.`get_sigma()`

and`get_deviance()`

for`lrm`

models (package*rms*) now only return one value, sigma or deviance for the model with intercept and predictors.`get_deviance()`

now works for`glmerMod`

,`MixMod`

and`glmmTMB`

models.The behaviour and documentation of the

`effects`

and`component`

arguments, in particular for`brmsfit`

models, were revised to be more consistent.`export_table()`

now correctly prints the footer if the input was a list of data frames.

Fixed issue (warning) in

`get_loglikelihood()`

for binomial models with non-numeric response variables.`find_statistic()`

correctly distinguishes t- and z-statistic for*emmGrid*objects.Fixed issue in

`model_info()`

for`BGGM`

and`mgcv::gam()`

.Fixed issue in

`find_formula()`

for`gamlss`

models with`random()`

function in formula.Fixed issue with

`find_parameters()`

for*brmsfit*models when auxiliary parameters are directly modelled.Fixed issue with

`get_parameters()`

and`find_parameters()`

for multi-group*blavaan*models.Fixed issue in

`ellipsis_info()`

when detecting nested models with poly-terms.Fixed issue in

`find_response()`

for*brmsfit*models that used the`resp_thres()`

function in the model formula.Fixed issue in

`get_predicted_ci()`

for models with rank-deficient model matrix.Argument

`zap_small`

in`format_value()`

did not work properly over vectorized vectors.

`get_predicted()`

has be revamped with a new API and a stable output form (a vector). In the course of this revision, a new function`get_predicted_ci()`

to calculate uncertainty intervals for model predictions.Improved support for

`orm`

(*rms*).

- Support for
`svy_vglm`

(*svyVGAM*),`mjoint`

(*joineRML*),`mhurdle`

(*mhurdle*),`sarlm`

(*spatialreg*),`model_fit`

(*tidymodels*)

`is_gam_model()`

as a small helper to check if a model is a generalized additive model with smooth terms.

Added

`iterations`

argument to`get_predicted()`

to control the number of draws returned for Bayesian models.`model_info()`

now returns`$is_gam`

if model is generalized additive model with smooth terms.`format_table()`

and`export_table()`

now check for valid input (e.g., non-empty data frame) and give an informative message.Improved support for

`MixMod`

(*GLMMadaptive*) in`get_variance()`

.Improved

`print_parameters()`

, to allow more flexibility and better cope with different output formats.`get_parameters()`

,`find_parameters()`

and`clean_parameters()`

for*emmGrid*and*emm_list*objects were revised and now better match the actual parameter names (also for contrasts).

Fixed issue in

`get_variance()`

for models without intercept.Fixed labelling issue in

`get_parameters()`

and`clean_parameters()`

for`blavaan`

models.`clean_parameters()`

for*MCMCglmm*objects did not include random parameters.Fixed minor issue with unintended sub-titles for

`print_html()`

.Fixed issue in

`get_prior()`

for`rstanarm::R2()`

priors.

- Improved handling for GAMs.

- Support for
`elm`

,`eglm`

(*eflm*)

`get_residuals(..., weighted = TRUE)`

doesn’t throw warnings if weights are 1 (no weights specified).`n_parameters()`

gains a`only_estimable`

argument, to remove non-estimable parameters from counting the number of parameters for models with rank-deficient model matrix.`format_ci()`

also gains a`zap_small`

argument.

Fix or disable failing tests on Mac OS.

Fixed issues in

`get_variance()`

with non-correlated random-slope-intercepts for*lme4*models.

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

- Support for
`crr`

(*cmprsk*),`ergm`

(*ergm*),`btergm`

(*btergm*),`Rchoice`

(*Rchoice*),`garch`

(*tseries*)

Slightly improved handling of different CI-columns in

`format_table()`

.`model_info()`

now returns`$is_leventest`

if model is an object returned by`car::leveneTest()`

.`get_parameters()`

supports`htest`

objects.

`get_varcov()`

did not properly remove`NA`

from rank-deficient models.Fixed issue/warning in

`get_data()`

for some*htest*objects, where the environment was not properly evaluated.Fixed issue in

`format_table()`

with p-value formatting, when input data frame contained a column named`"p"`

, which was not numeric.(Hopefully) fixed issue with failing CRAN checks.

`format_table()`

is an alias for`parameters_table()`

, and is no longer referring to`export_table()`

.

- Support for
`coxr`

(*coxrobust*),`coeftest`

(*lmtest*),`ivFixed`

(*ivFixed*),`ivprobit`

(*ivprobit*),`riskRegression`

(*riskRegression*).`summary.lm`

,`lmodel2`

(*lmodel2*), improved support for`bamlss`

(*bamlss*).

Added

`get_deviance()`

function that returns the model deviance as a robust alternative to`stats::deviance()`

.Added

`model_name()`

function that returns the model’s “name”.Added

`format()`

method for`find_formula()`

output to flatten it.Added

`null_as_ones = TRUE`

argument to`get_weights()`

to return vector of 1s instead of`NULL`

.Added

`get_intercept()`

as a helper function to easily retrieve the value at the intercept.Added

`get_df()`

as a robust alternative to`stats::df.residuals()`

.Added

`get_predicted()`

as a robust alternative to`stats::fitted()`

.Added

`get_loglikelihood()`

(and its alias`loglikelihood()`

) function as a robust alternative to`stats::logLik()`

.Added

`get_residuals()`

as a robust alternative extract model residuals.Added

`ellipsis_info()`

to specify the nature of ellipsis (`...`

) inputs.Added

`is_nested_models()`

to check if multiple regression models are nested (decreasing or increasing).Added generic

`print_html()`

, to allow other packages to create tables in HTML format (via`export_table()`

) when not printing the output to console.Added

`is_mixed_model()`

, to safely check if a model is a mixed effects model. This function also works for multivariate response models.`n_parameters()`

was moved from*parameters*to*insight*.

`find_formula()`

,`find_predictor()`

,`find_random()`

and related functions now also return names of random effects from generalized additive mixed models (`gamm`

,`gamm4`

,`stan_gamm4`

).Added support for more BFBayesFactor objects.

`model_info()`

now returns`$is_xtab`

for`chisq.test()`

and`BayesFactor::contingencyTableBF()`

. Furthermore, the`$family`

element for those objects is set to`"categorical"`

.`n_obs()`

now handles number of observations from models with binomial family correctly when these have matrix-columns as response variable.

Fixed issue in

`find_statistic()`

for*fixest*models, which did not return the correct value`"t-statistic"`

for`feols()`

.Fixes inconsistencies in

`get_priors()`

for (linear)`BFBayesFactor`

models.

- Warnings that formerly were printed using
`print_color()`

now use`warning()`

, to better suppress warning messages if required.

`find_smooth()`

, to return in particular smooth terms used in a model.

`get_variance()`

and`get_variance_random()`

gain a`tolerance`

-argument, to set the tolerance level for singularity checks when computing random effect variances.`parameters_table()`

formats more objects from the*easystats*packages, like ROPE-range or`p_rope()`

.`find_statistic()`

now supports models of class*scam*.`get_data()`

now also supports`htest`

-object, where possible.

Fix CRAN check issues.

`find_formula()`

for`stan_gamm4()`

now correctly includes random effects.

`model_info()`

now also detects models from`oneway.test()`

,`binom.test()`

`chisq.test()`

,`mcnemar.test()`

and`prop.test()`

. Furthermore,`model_info()`

better deals with objects from`BFBayesFactor`

, and censored regression models no longer return`TRUE`

for`$is_linear`

.`format_table()`

is going to be renamed in a future update. Please use its alias`export_table()`

.

- Support for
`scam`

(*scam*),`meta_random`

and`meta_fixed`

(*metaBMA*),`Glm`

(*rms*),`ridgelm`

(*MASS*),`mediate`

(*mediation*). Partial support for`mcmc.list`

(e.g.*bayesGARCH*)

`parameters_table()`

, which was moved from package*parameters*to*insight*. Note that this function is going to be renamed into`format_table()`

in a future update.`find_offset()`

, to find the name of offset-terms.Added generics for

`display()`

and`print_md()`

, to allow other packages to create tables in other formats when not printing the output to console.

`standardize_names()`

tries to be as loyal to the*broom*-naming conventions as possible.The function of the

`brackets`

-argument in`format_ci()`

was changed. It is now also possible to provide a length-two character vector, to define own brackets that encompass the CI-values.Related to the change in

`format_ci()`

, the function of the`brackets`

-argument in`parameters_table()`

was changed accordingly. Furthermore,`parameters_table()`

gains a`preserve_attributes`

-argument, to preserve any attributes from the input data frame.`export_table()`

gains several new arguments that allows to create tables in markdown-format.`print_parameters()`

gains a`keep_parameter_column`

-argument, to keep (default) both the`"Cleaned_Parameter"`

and`"Parameter"`

columns, or - if`FALSE`

- use`"Cleaned_Parameter"`

as new`"Parameter"`

column.

`get_data()`

Fixed issue in

`get_data()`

for`MixMod`

objects, which were caused due to internal changes in*GLMMadaptive*.`get_data()`

for zero-inflated models from*pscl*did not include the offset-term in cases where the offset was defined as argument, not inside the model formula.Fixed issue in

`get_data()`

for`coxph`

models with survival-objects with`event`

-argument as response.Fixed edge case in

`get_data()`

for column name of response values that were log-transformed using`log(x+1)`

.

Fixed issue with

`survreg`

models that included`strata()`

in their formula.Fixed warning in CRAN checks for forthcoming R-devel.

`get_sigma()`

to return the residual standard deviation.`standardize_names()`

, which was moved from package*parameters*to*insight*.

- Support for
`maov`

(*stats*),`HLfit`

(*spaMM*), preliminary support for`margins`

(*margins*),`merModList`

(*merTools*).

Better support for (weighted) multivariate response models of class

`mlm`

for functions like`get_varcov()`

or`clean_parameters()`

.Make

`find_formula()`

work with t-tests from*BayesFactor*.Improved handling for

*mira*objects.

`format_bf()`

gains a`na_reference`

argument, to set the “reference” for Bayes factor values that are`NA`

, and an`exact`

argument for returning scientific formatted extreme values.`format_value()`

gains a`zap_small`

argument, to prevent scientific printing of numbers if these have more decimal places than indicated by`digits`

.`get_weights()`

now also returns`NULL`

when all weights were 1.`get_parameters()`

for*BFBayesFactor*objects gets a`verbose`

argument.`get_parameters()`

for*emmGrid*and*emm_list*objects gets a`summary`

argument, to either return the full posterior samples or the summarized centrality indices for Bayesian models.`find_formula()`

for`MuMIn::model.avg()`

now tries to retrieve the random effects part of a formula, when present.`get_weights()`

gains a`na_rm`

argument to remove possible missing values.

Fix issues with one-sample Bayesian t-tests ( https://github.com/easystats/parameters/issues/297 ).

Fix issue in

`format_value()`

that printed`"100%"`

as`"1e+02%"`

.Removed unnecessary white-spaces in

`format_ci()`

when upper or lower interval was larger than 1e+5.`has_intercept()`

did not work correctly when intercept was removed from formula using`-1`

.`find_terms()`

now shows removal of intercept formula using`-1`

as term`"-1"`

.Fix issues with

`get_statistic()`

for*vgam*models.

`get_data()`

now works for models from`afex_aov()`

.`get_parameters()`

returns a more informative message for`BFBayesFactor`

objects when not the first model is indexed.`clean_names()`

now also removes`exp()`

-pattern.`clean_names()`

for character-objects now works with “interaction patterns” (like`clean_names("scale(a):scale(b)")`

).`format_bf()`

gains a`protect_ratio`

argument, to print numbers smaller than 1 as ratios.

Fix issues in CRAN checks.

`get_priors()`

now works for more complex`BFBayesFactor`

objects that have multiple custom priors.

`get_data()`

did not always “back-transform” log-transformed or scaled variables to return the original values. Now this bug has been fixed, and`get_data()`

should return all variables on the original scale (as if these variables were not transformed), as stated in the docs.

`get_data()`

now returns the correct original data for “empty” polynomials (i.e.`poly(x, 1)`

).Fix CRAN check issues due to latest

*estimatr*update.

- Support for
`mipo`

(*mice*),`lqmm`

and`lqm`

(*lqmm*). Preliminary support for`semLME`

(*smicd*),`mle`

(*stats4*) and`mle2`

(*bbmle*).

`model_info()`

returns`$is_meta = TRUE`

for*brms*-meta-analysis models.Make

`find_statistic()`

work with`mgcv::bam()`

.`get_variance()`

now also support`truncated_nbinom2()`

family from*glmmTMB*.

Fixed issue with correctly detecting sigma-parameters in

`find_parameters()`

for multiple-response`brmsfit`

-models.Fixed issue with

`find_formula()`

for models from`stan_nlmer()`

.Fixed issues with

`find_terms()`

when response variable included a namespace, like`survival::Surv()`

.Fixed issues with

`get_priors()`

for*stanreg*models, probably caused by the latest update to*rstanarm 2.21.2*.Fixed issues in

`get_variance()`

for*brmsfit*models.Fixed some issues around

`crq`

objects (package*quantreg*).

`BGGM`

(*BGGM*),`metaplus`

(*metaplus*),`glht`

(*multcomp*),`glmm`

(*glmm*), improved support for`manova`

(*stats*)

- Value formatting functions
`format_bf()`

,`format_pd()`

,`format_p()`

,`format_rope()`

and`format_number()`

were moved from package*parameters*to*insight*.

`get_variance()`

now also returns the correlation among random slopes.`get_variance()`

now also (partially) supports`brmsfit`

models.`get_parameters()`

for models that return (posterior or simulated) samples of model parameters gains a`summary`

-argument, which - if`TRUE`

- returns a point-estimate (mean of samples) instead of the full samples.`format_p()`

returns`"> .999"`

for p-values equal to or greater than 0.999.

Fixed issue in

`find_formula()`

that did not properly work for models with random effects in formula (in*lme4*notation), when random effects were in between fixed effects parts.`get_variance()`

did not return variance components for random effects for null-models with random slopes.Fixed issue with

`get_variance()`

for`lme`

-models with categorical random slope.Fixed issue that occurred since R 4.0.0 in

`find_weights()`

when function call had no`weights`

-argument.Fixed issue in

`get_data()`

for models with`cbind()`

-response variables and matrix-like variables in the model frame (e.g. when using`poly()`

).Fixed issues with

`PROreg::BBmm()`

, due to changes in latest package update.