`complmrob`

(*complmrob*),`fixest`

(*fixest*),`mclogit`

and`mmclogit`

(*mclogit*).

- Fixed bug in
`find_formula()`

for mixed models, when random effects are written before any fixed effects terms (like`social ~ (1|school) + open + extro`

). - Fixed bug in
`model_info()`

for*VGAM*models, where logit-link was not always correctly identified. - Fixed issue in
`get_priors()`

for*brmsfit*models, where parameters of conditional and zero-inflated model components had identical names. This caused errors in`bayestestR::simulate_prior()`

. - Fixed CRAN check issue.

- In order to unify column names across easystats-packages,
`get_parameters()`

and`get_priors()`

now return column names according to our naming conventions (i.e. capitalized column names). `model_info()`

returned both`$is_zeroinf`

and`$is_zero_inflated`

for zero-inflated models. Now`$is_zeroinf`

is softly deprecated, so`model_info()`

will return`$is_zero_inflated`

only in future updates.

`aareg`

(*survival*),`brmultinom`

and`bracl`

(*brglm2*), and`wbgee`

(*panelr*). Furthermore, for different model-types from*panelr*models (within-between, between, etc.) are now also supported.- Preliminary support for
`rma`

models (*metafor*).

`get_statistic()`

supports`multinom`

models (*nnet*).`link_inverse()`

gets a`what`

-argument, to return the link-inverse function for specific distribution parameters from**gamls**models.

- Fixed edge case for
`find_weights()`

. - Fixed bug in
`get_statistic()`

for*glmmTMB*models that won’t return any data.

`bayesx`

(*R2BayesX*),`bamlss`

(*bamlss*) and`flexsurvreg`

(*flexsurv*). Note that support for these models is still somewhat experimental.- Support for
*lavaan*and*blavaan*was added, but only applies to some of the functions:`get_data()`

,`get_parameters()`

,`find_parameters()`

,`clean_parameters()`

,`find_algorithm()`

and`get_priors()`

(the two latter only for*blavaan*).

`get_statistic()`

to return the test statistic of model estimates.`get_varcov()`

to return the variance-covariance matrix for models.`supported_models()`

to print a list of supported models.

`model_info()`

now returns the element`is_survival`

for survival models.`model_info()`

now returns the element`is_truncated`

for truncated regression, or*brmsfit*models with`trunc()`

as additional response part.`model_info()`

now recognizes beta and beta inflated families from package*gamlss*.- Better support for nonlinear quantile regression (
`quantreg::nlrq()`

). - Better support for nonlinear mixed models (
`lme4::nlmer()`

). Note that model-specification requires the random term to be written in parentheses, i.e.`(slope | group)`

.

- Fixed issues in
`get_data()`

,`find_parameters()`

and`get_parameters()`

for*gamlss*models. - Fixed issue in
`get_data()`

for*plm*models, where the`index`

-argument was used in the`plm()`

-function call. - Fixed issue in
`get_data()`

,`find_predictors()`

and`find_variables()`

for*brmsfit*multi-membership-models. `is_model()`

did not recognize objects of class`anova`

and`manova`

.`model_info()`

now correctly recognizes censored regression models from*brmsfit*.- Fixed issues in
`find_parameters()`

and`get_parameters()`

with*multinom*models. - Fixed issues in
`clean_names()`

for cases where variable transformations where made in specific patterns, like`log(test/10)`

.

- The previous
`is_model()`

function has been renamed to`is_model_supported()`

since it was unclear if the function checked the entered object was a model or a supported model in*insight*. The new`is_model()`

function checks if the entered object is a model object, while`is_model_supported()`

checks if a supported model object.

`find_statistic()`

to return the test statistic of a regression model.`format_value()`

and`format_table()`

as utility-functions to format (model) output, especially for tabular output.`color_if()`

as utility-function to add color formatting to values, depending on certain conditions.

- Make extraction of model family information more stable for gam-objects.

`find_parameters()`

and`get_parameters()`

now also support objects of class`sim`

and`sim.merMod`

(from`arm::sim()`

).`get_variance()`

now also supports models of class*clmm*.`find_predictors()`

and`find_variables()`

now include the Euclidean distance matrix for spatial models from*glmmTMB*(returned as random effects element, or more precise, as random slope).

`find_formula()`

now extracts group factors of random effects for*gamlss*models.`find_parameters()`

and`get_parameters()`

no longer show`NA`

coefficients from group factors of random effects for*gamlss*models.`find_parameters()`

and`get_parameters()`

did not work for multivariate response models of class*brmsfit*when argument`parameters`

was specified.`get_data()`

dropped value and variable label attributes, when model frame contained matrix variables (like splines).`get_priors()`

swapped column names`location`

and`scale`

for*brmsfit*-objects.`get_parameters()`

did not work for*glmmTMB*models without zero-inflation component.`find_predictors()`

did not remove parentheses from terms in multiple nested random effects.- Better support for
*gam*models (package*mgcv*) with`ziplss`

or`mvn`

families.

`get_variance()`

now supports models with Gamma-family.`get_weights()`

and`find_weights()`

now work for*brms*-models.

- Fix CRAN-check issues due to recent update from the
*panelr*-package.

- Updates
`CITATION`

, based on publication in JOSS. - Added
`nobs()`

-method for those model-objects supported by*insight*that did not yet provide such a method.

`betabin`

and`negbin`

(*aod*),`BBreg`

and`BBmm`

(*HRQoL*),`wbm`

(*panelr*),`survfit`

(*survival*)

`clean_parameters()`

, which returns a data frame with “decomposed” parameters, i.e. a data frame with information about the clean parameter name, whether it is a fixed or random effect, from conditional or zero-inflated component, and if it is a parameter related to specific grouping factors of random effects (#106).`print_parameters()`

, which can be called on top of`clean_parameters()`

to get a list of data frames that represent the different model components (fixed, random, zero-inflated, …) and which is in shape for printing summary statistics of complex models.`find_interactions()`

to return all low/high order interaction terms in a model.`find_weights()`

and`get_weights()`

to find / get model weights.

- To reduce interface complexity,
`find_parameters()`

and`get_parameters()`

for objects of class`aovlist`

now return the elements`$conditional`

and`$random`

, to be in line with other supported objects. - The argument
`resp`

in`get_response()`

was renamed to`select`

, to have a more clear verb (#114). - The functions
`find_variables()`

and`find_terms()`

were flipped, because what previously was considered as “term” was actually a “variable”, and vice versa.

`find_parameters()`

and`get_parameters()`

now allow to return a`sigma`

-element for multivariate-response models (*brmsfit*,*stanmvreg*).`find_parameters()`

and`get_parameters()`

now return the intercepts for**polr**models.`find_parameters()`

gets an`effects`

and a`component`

-argument, similar to many other functions in*insight*.`get_priors()`

now returns`distribution = "uniform"`

when model was fitted with flat priors.`model_info()`

now returns an element`$is_hurdle`

for hurdle models.

`find_parameters()`

returned priors for`brmsfit`

-objects as`$random`

-element. Now,`find_parameters()`

returns a`$priors`

-element (#98).`find_parameters()`

did not remove smooth-parameters that used`te()`

or`ti()`

.- Fixed various issues with non-linear
*brms*-models. `find_formula()`

(and hence,`find_response()`

or`get_data()`

) did not work for multi-column responses in null-models (#100).- Fixed bugs with models from package
*plm*that occurred during the latest plm-update. `find_predictors()`

did not split nested random effects when these were written as`g1:g2`

instead`g2/g2`

in the random part of the model formula.- Fixed issues with
`all_model_equal()`

. `get_data()`

did not return`(weights)`

columns for some model objects.`get_priors()`

for*stanreg*-models returned the priors in sorted order, so sometimes parameter names and associated prior values did not match (#111).`get_variance()`

did not calculate random effect variances, when interaction terms in random slopes were also present in fixed effects, but the interaction was written in different order (e.g.,`a*b`

and`b*a`

) (#112).- Fixed issue with tibbles in
`get_data()`

. - Fixed issue with
`get_priors()`

for*stanreg*-models, when`prior_summary()`

returned`NULL`

for a prior (#116). - Fixed issue with the recent update of
*GLMMadaptive*, which broke some of the functions.

`biglm`

and`bigglm`

(*biglm*),`feis`

(*feisr*),`gbm`

(*gbm*),`BFBayesFactor`

(*BayesFactor*),`psm`

(*rms*),`LORgee`

(*multgee*),`censReg`

(*censReg*),`ols`

(*rms*),`speedlm`

and`speedglm`

(*speedglm*),`svyolr`

(*survey*)

`is_nullmodel()`

to check if model is a null-model (intercept-only), i.e. if the conditional part of the model has no predictors.`has_intercept()`

to check if model has an intercept.

- Functions like
`find_predictors()`

or`find_terms()`

return`NULL`

for null-models (intercept-only models). Use`is_nullmodel()`

to check if your model only has an intercept-parameter (but no predictors). `get_variance()`

no longer stops if random effects variance cannot be calculated. Rather, the return-value for`$var.random`

will be`NULL`

.

`get_variance()`

now computes the full variance for mixed models with zero-inflation component.`get_priors()`

now returns the default-prior that was defined for all parameters of a class, if certain parameters have no specific prior.`find_parameters()`

gets a`flatten`

-argument, to either return results as list or as simple vector.`find_variables()`

gets a`flatten`

-argument, to either return results as list or as simple vector.

`get_data()`

did not work when model formula contained a function with namespace-prefix (like`lm(Sepal.Length ~ splines::bs(Petal.Width, df=4)`

) (#93).`get_priors()`

failed for*stanreg*-models, when one or more priors had no adjusted scales (#74).`find_random()`

failed for mixed models with multiple responses.`get_random()`

failed for*brmsfit*and*stanreg*models.`get_parameters()`

and`find_parameters()`

did not work for`MixMod`

-objects*without*zero-inflation component, when`component = "all"`

(the default).`find_formula()`

did not work for`plm`

-models without instrumental variables.`find_formula()`

returned random effects as conditional part of the formula for null-models (only intercept in fixed parts) (#87).- Fixed issue with invalid notation of instrumental-variables formula in
`felm`

-models for R-devel on Linux. - Fixed issue with
`get_data()`

for*gee*models, where incomplete cases were not removed from the data. - Fixed potential issue with
`get_data()`

for null-models (only intercept in fixed parts) from models of class`glmmTMB`

,`brmsfit`

,`MixMod`

and`rstanarm`

(#91). `find_variables()`

no longer returns (multiple)`"1"`

for random effects.

- Better handling of
`AsIs`

-variables with division-operation as dependent variables, e.g. if outcome was defined as`I(income/frequency)`

, especially for`find_response()`

and`get_data()`

. - Revised package-functions related to
`felm`

-models due to breaking changes in the*lfe*-package.

`iv_robust`

(*estimatr*),`crch`

(*crch*),`gamlss`

(*gamlss*),`lmrob`

and`glmrob`

(*robustbase*, #64),`rq`

,`rqss`

and`crq`

(*quantreg*),`rlmer`

(*robustlmm*),`mixed`

(*afex*),`tobit`

(*AER*) and`survreg`

(*survival*).

`get_variance()`

, to calculate the variance components from mixed models of class`merMod`

,`glmmTMB`

,`MixMod`

,`rlmer`

,`mixed`

,`lme`

and`stanreg`

(#52). Furthermore, convenient shortcuts to return the related components directly, like`get_variance_random()`

or`get_variance_residual()`

.`find_algorithm()`

, to get information about sampling algorithms and optimizers, and for Bayesian models also about chains and iterations (#38).`find_random_slopes()`

, which returns the names of the random slopes of mixed models.`get_priors()`

, to get a summary of priors used for a model (#39).`is_model()`

to check whether an object is a (supported) regression model (#69).`all_models_equal()`

to check whether objects are all (supported) regression models and of same class.`print_color()`

(resp.`print_colour()`

) to print coloured output to the console. Mainly implemented to reduce package dependencies.

`find_parameters()`

and`get_parameters()`

get a`parameters`

-argument for`brmsfit`

and`stanreg`

models, to allow selection of specific parameters that should be returned (#55).`find_parameters()`

and`get_parameters()`

now also return simplex parameters of monotic effects (**brms**only) and smooth terms (e.g. for gam-models).`find_terms()`

and`find_predictors()`

no longer return constants, in particular`pi`

(#26).- For
`gls`

and`lme`

objects, functions like`find_formula()`

etc. also return the correlation component (#19). `model_info`

now returns`$is_tweedie`

for models from tweedie-families.

`find_parameters()`

and`get_parameters()`

did not preserve coefficients of monotonic category-specific effects from**brmsfit**-objects.- Fixed bug that sometimes returned more elements for
`find_predictors()`

or`get_parameters()`

than requested. - Fixed bug in
`get_data()`

for**MixMod**-objects when response variable was defined via`cbind()`

. - Fixed bug in
`get_response()`

for models that used`cbind()`

with a substraction (e.g.`cbind(success, total - success)`

). In such cases, values for second column (in this example:`total`

) were the substracted values`total - success`

, not the original values from`total`

.

- Initial release.