- Data management functions (like
`reshape_longer()`

, or`data_match()`

) have been moved to the*datawizard*package.

- 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.