Following functions were moved to the new

*datawizard*package and are now re-exported from*parameters*package:`center()`

`convert_data_to_numeric()`

`data_partition()`

`demean()`

(and its aliases`degroup()`

and`detrend()`

)`kurtosis()`

`rescale_weights()`

`skewness()`

`smoothness()`

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

Following functions were moved to the

*performance*package:`check_heterogeneity()`

`check_multimodal()`

The handling to approximate the degrees of freedom in

`model_parameters()`

,`ci()`

and`p_value()`

was revised and should now be more consistent. Some bugs related to the previous computation of confidence intervals and p-values have been fixed. Now it is possible to change the method to approximate degrees of freedom for CIs and p-values using the`ci_method`

, resp.`method`

argument. This change has been documented in detail in`?model_parameters`

, and online here: https://easystats.github.io/parameters/reference/model_parameters.htmlMinor changes to

`print()`

for*glmmTMB*with dispersion parameter.Added vignette on printing options for model parameters.

`model_parameters()`

The

`df_method`

argument in`model_parameters()`

is deprecated. Please use`ci_method`

now.`model_parameters()`

with`standardize = "refit"`

now returns random effects from the standardized model.`model_parameters()`

and`ci()`

for`lmerMod`

models gain a`"residuals"`

option for the`ci_method`

(resp.`method`

) argument, to explicitly calculate confidence intervals based on the residual degrees of freedom, when present.`model_parameters()`

supports following new objects:`trimcibt`

,`wmcpAKP`

,`dep.effect`

(in*WRS2*package),`systemfit`

`model_parameters()`

gains a new argument`table_wide`

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

gains two new arguments,`keep`

and`drop`

.`keep`

is the new names for the former`parameters`

argument and can be used to filter parameters. While`keep`

selects those parameters whose names match the regular expression pattern defined in`keep`

,`drop`

is the counterpart and excludes matching parameter names.When

`model_parameters()`

is called with`verbose = TRUE`

, and`ci_method`

is not the default value, the printed output includes a message indicating which approximation-method for degrees of freedom was used.`model_parameters()`

for mixed models with`ci_method = "profile`

computes (profiled) confidence intervals for both fixed and random effects. Thus,`ci_method = "profile`

allows to add confidence intervals to the random effect variances.`model_parameters()`

should longer fail for supported model classes when robust standard errors are not available.

`n_factors()`

the methods based on fit indices have been fixed and can be included separately (`package = "fit"`

). Also added a`n_max`

argument to crop the output.`compare_parameters()`

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

gets`verbose`

argument to toggle warnings and messages.`format_parameters()`

removes dots and underscores from parameter names, to make these more “human readable”.The experimental calculation of p-values in

`equivalence_test()`

was replaced by a proper calculation p-values. The argument`p_value`

was removed and p-values are now always included.Minor improvements to

`print()`

,`print_html()`

and`print_md()`

.

The random effects returned by

`model_parameters()`

mistakenly displayed the residuals standard deviation as square-root of the residual SD.Fixed issue with

`model_parameters()`

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

`model_parameters`

for`lmerMod`

models that, by default, returned residual degrees of freedom in the statistic column, but confidence intervals were based on`Inf`

degrees of freedom instead.Fixed issue in

`ci_satterthwaite()`

, which used`Inf`

degrees of freedom instead of the Satterthwaite approximation.Fixed issue in

`model_parameters.mlm()`

when model contained interaction terms.Fixed issue in

`model_parameters.rma()`

when model contained interaction terms.Fixed sign error for

`model_parameters.htest()`

for objects created with`t.test.formula()`

(issue #552)Fixed issue when computing random effect variances in

`model_parameters()`

for mixed models with categorical random slopes.

`check_sphericity()`

has been renamed into`check_sphericity_bartlett()`

.Removed deprecated arguments.

`model_parameters()`

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

`SemiParBIV`

(*GJRM*),`selection`

(*sampleSelection*),`htest`

from the*survey*package,`pgmm`

(*plm*).

- Performance improvements for models from package
*survey*.

- Added a
`summary()`

method for`model_parameters()`

, which is a convenient shortcut for`print(..., select = "minimal")`

.

`model_parameters()`

`model_parameters()`

gains a`parameters`

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

for`model_parameters()`

and`compare_parameters()`

gains a`groups`

argument, to group parameters in the output. Furthermore,`groups`

can be used directly as argument in`model_parameters()`

and`compare_parameters()`

and will be passed to the`print()`

method.`model_parameters()`

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

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

passes arguments`type`

,`parallel`

and`n_cpus`

down to`bootstrap_model()`

when`bootstrap = TRUE`

.

`bootstrap_models()`

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

gains the`ci_method`

type`"bci"`

, to compute bias-corrected and accelerated bootstrapped intervals.`ci()`

for`svyglm`

gains a`method`

argument.

Fixed issue in

`model_parameters()`

for*emmGrid*objects with Bayesian models.Arguments

`digits`

,`ci_digits`

and`p_digits`

were ignored for`print()`

and only worked when used in the call to`model_parameters()`

directly.

- Revised and improved the
`print()`

method for`model_parameters()`

.

`blrm`

(*rmsb*),`AKP`

,`med1way`

,`robtab`

(*WRS2*),`epi.2by2`

(*epiR*),`mjoint`

(*joineRML*),`mhurdle`

(*mhurdle*),`sarlm`

(*spatialreg*),`model_fit`

(*tidymodels*),`BGGM`

(*BGGM*),`mvord`

(*mvord*)

`model_parameters()`

`model_parameters()`

for`blavaan`

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

`effects`

-argument from`model_parameters()`

for mixed models was revised and now shows the random effects variances by default (same functionality as`random_parameters()`

, but mimicking the behaviour from`broom.mixed::tidy()`

). When the`group_level`

argument is set to`TRUE`

, the conditional modes (BLUPs) of the random effects are shown.`model_parameters()`

for mixed models now returns an`Effects`

column even when there is just one type of “effects”, to mimic the behaviour from`broom.mixed::tidy()`

. In conjunction with`standardize_names()`

users can get the same column names as in`tidy()`

for`model_parameters()`

objects.`model_parameters()`

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

for`model_parameters()`

gains a`zap_small`

argument, to avoid scientific notation for very small numbers. Instead,`zap_small`

forces to round to the specified number of digits.To be internally consistent, the degrees of freedom column for

`lqm(m)`

and`cgam(m)`

objects (with*t*-statistic) is called`df_error`

.`model_parameters()`

gains a`summary`

argument to add summary information about the model to printed outputs.Minor improvements for models from

*quantreg*.`model_parameters`

supports rank-biserial, rank epsilon-squared, and Kendall’s*W*as effect size measures for`wilcox.test()`

,`kruskal.test`

, and`friedman.test`

, respectively.

`describe_distribution()`

gets a`quartiles`

argument to include 25th and 75th quartiles of a variable.

Fixed issue with non-initialized argument

`style`

in`display()`

for`compare_parameters()`

.Make

`print()`

for`compare_parameters()`

work with objects that have “simple” column names for confidence intervals with missing CI-level (i.e. when column is named`"CI"`

instead of, say,`"95% CI"`

).Fixed issue with

`p_adjust`

in`model_parameters()`

, which did not work for adjustment-methods`"BY"`

and`"BH"`

.Fixed issue with

`show_sigma`

in`print()`

for`model_parameters()`

.Fixed issue in

`model_parameters()`

with incorrect order of degrees of freedom.

Roll-back R dependency to R >= 3.4.

Bootstrapped estimates (from

`bootstrap_model()`

or`bootstrap_parameters()`

) can be passed to`emmeans`

to obtain bootstrapped estimates, contrasts, simple slopes (etc) and their CIs.- These can then be passed to
`model_parameters()`

and related functions to obtain standard errors, p-values, etc.

- These can then be passed to

`model_parameters()`

now always returns the confidence level for as additional`CI`

column.The

`rule`

argument in`equivalenct_test()`

defaults to`"classic"`

.

`crr`

(*cmprsk*),`leveneTest()`

(*car*),`varest`

(*vars*),`ergm`

(*ergm*),`btergm`

(*btergm*),`Rchoice`

(*Rchoice*),`garch`

(*tseries*)

`compare_parameters()`

(and its alias`compare_models()`

) to show / print parameters of multiple models in one table.

Estimation of bootstrapped

*p*-values has been re-written to be more accurate.`model_parameters()`

for mixed models gains an`effects`

-argument, to return fixed, random or both fixed and random effects parameters.Revised printing for

`model_parameters()`

for*metafor*models.`model_parameters()`

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

).Improved support for effect sizes in

`model_parameters()`

from*anova*objects.

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

Fixed issue with random sampling and dropped factor levels in

`bootstrap_model()`

.

`coxr`

(*coxrobust*),`coeftest`

(*lmtest*),`ivfixed`

(*ivfixed*),`ivprobit`

(*ivprobit*),`riskRegression`

(*riskRegression*),`fitdistr`

(*MASS*),`yuen`

,`t1way`

,`onesampb`

,`mcp1`

and`mcp2`

(*WRS2*),`Anova.mlm`

(*car*),`rqs`

(*quantreg*),`lmodel2`

(*lmodel2*),`summary.lm`

,`PMCMR`

,`osrt`

and`trendPMCMR`

(*PMCMRplus*),`bamlss`

(*bamlss*).

`print_html()`

as an alias for`display(format = "html")`

. This allows to print tabular outputs from data frames (as returned by most functions in*parameters*) into nicely rendered HTML markdown tables.

Added more effect size measures to

`model_parameters()`

for`htest`

objects.`model_parameters()`

for anova objects gains a`power`

argument, to calculate the power for each parameter.`ci()`

for models from*lme4*and*glmmTMB*can now computed profiled confidence intervals, using`method = "profile"`

. Consequently,`model_parameters()`

with`df_method = "profile"`

also computes profiled confidence intervals. For models of class`glmmTMB`

, option`"uniroot"`

is also available.

`model_parameters()`

for t-tests when`standardize_d = TRUE`

, did not return columns for the group-specific means.Fixed issue in

`p_value()`

for`fixest::feols()`

.Fixed issue in

`model_parameters()`

for`glmer()`

models with p-values that were calculated with`df_method = "ml1"`

or`df_method = "betwithin"`

.Fixed issue in

`model_parameters()`

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

`print_md()`

for model-parameters objects from Bayesian models.Fixed issues with printing of model parameters for multivariate response models from

*brms*.Fixed issue with paired t-tests and

`model_parameters()`

.

`format_p_adjust()`

, to create pretty names for p-adjustment methods.

Fixed breaking code / failing tests due to latest

*effectsize*update.Fixed issue with

`model_parameters()`

for models of class`mlm`

.Undocumented arguments

`digits`

,`ci_digits`

and`p_digits`

worked for`print()`

, but not when directly called inside`model_parameters()`

. Now,`model_parameters(model, digits = 5, ci_digits = 8)`

works again.Fixed some minor printing-issues.

The default-method for effect sizes in

`model_parameters()`

for Anova-models (i.e. when arguments`omega_squared`

,`eta_squared`

or`epsilon_squared`

are set to`TRUE`

) is now`"partial"`

, as initially intended.Column names for degrees of freedom were revised.

`"df_residual"`

was replaced by the more generic`"df_error"`

. Moreover, models of class`htest`

now also have the column name`"df_error"`

and no longer`"df"`

(where applicable).Some re-exports for functions that were moved to

*insight*longer ago, were now removed.

`Glm`

(*rms*),`mediate`

(*mediation*).`model_parameters()`

supports`Gam`

models (*gam*),`ridgelm`

(*MASS*),`htest`

objects from`oneway.test()`

,`chisq.test()`

,`prop.test()`

,`mcnemar.test()`

and`pairwise.htest`

objects,`mcmc.list`

(e.g. from*bayesGARCH*).

`display()`

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

as an alias for`display(format = "markdown")`

. This allows to print tabular outputs from data frames (as returned by most functions in*parameters*) into nicely rendered markdown tables.`format()`

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

or`print_md()`

.

`model_parameters()`

`model_parameters()`

for Anova-models (of class`aov`

,`anova`

etc.) gains a`ci`

-argument, to add confidence intervals to effect size parameters.`model_parameters()`

for`htest`

objects gains a`cramers_v`

and`phi`

argument, to compute effect size parameters for objects from`chisq.test()`

, and a`standardized_D`

argument, to compute effect size parameters for objects from`t.test()`

.`model_parameters()`

for`metafor`

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

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

for meta-analysis-models gains a`include_studies`

-argument, to include or remove studies from the output.`model_parameters()`

for gam-models now includes the residual df for smooth terms, and no longer the reference df.Slightly revised and improved the

`print()`

method for`model_parameters()`

.

`describe_distribution()`

now includes the name of the centrality index in the`CI`

-column, when`centrality = "all"`

.`pool_parameters()`

gains a`details`

-argument. For mixed models, and if`details = TRUE`

, random effect variances will also be pooled.

Fixed issue in

`ci()`

for*lme*models with non-positive definite variance-covariance.Fixed issue in

`model_parameters()`

for`nnet::multinom()`

,`lqmm::lqm()`

,`mgcv::gam()`

, and`margins::margins()`

models, and models from package*blme*.

- Support for
`maov`

(*stats*),`HLfit`

(*spaMM*),`scam`

(*scam*), preliminary support for`emm_list`

(*emmeans*),`merModList`

(*merTools*),`meta_random`

,`meta_bma`

and`meta_fixed`

(*metaBMA*).

`pool_parameters()`

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

, as a more generic case for`demean()`

.`center()`

, to center variables.

Better support for (weighted) multivariate response models of class

`mlm`

for functions like`model_parameters()`

or`simulate_parameters()`

.`standardize_names()`

is now re-exported from the*insight*package.

`print()`

for`model_parameters()`

now names the coefficients column depending on the model type (i.e.`"Odds Ratios"`

for logistic regression when`exponentiate = TRUE`

etc.)`print()`

for`model_parameters()`

gains a`show_sigma`

argument, to show or hide information on the residual standard deviation.`print()`

for`model_parameters()`

displays a message for Bayesian models, indicating which method to compute credible intervals was used.

`data_partition()`

gets a`seed`

argument, to explicitly set the seed before random sampling of test and training data.Revised

`parameters_table()`

, to improve readability of printed output.

Fixed issues in

`model_parameters()`

for*vgam*and*mira*objects.Fixed issue where

`model_parameters()`

for*emmGrid*objects falsely removed the`Coefficient`

column.Fixed issue in

`parameters_type()`

for factors with different effects-coding than treatment contrasts.Fixed issues due to latest

*effectsize*update.

Fixed issues with

*glmmTMB*models with dispersion-parameter.Fixed issue where

`model_parameters()`

for*glmmTMB*models falsely removed the`Component`

column.Fixed issue with missing CI columns in

`model_parameters()`

when`standardize`

was one of the options except`"refit"`

.`parameters_type()`

did not correctly detect interaction terms for specific patterns like`scale()`

included in the interaction.

Added vignette on model parameters and missing data.

Update citation.

Support for

`mipo`

(*mice*),`lqm`

and`lqmm`

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

(*smicd*),`mle2`

(*bbmle*),`mle`

(*stats4*)`model_parameters()`

for objects of class`mira`

(*mice*).

`model_parameters()`

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

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

for*lavaan*and*blavaan*gains more option for standardized parameters.

Fix issue in

`model_parameters()`

for`coxph.penal`

models.Fix issue in

`model_parameters.metaplus()`

with random effects.Fix issue in

`check_heterogeneity()`

when`x`

was a mixed model.Fix issue in

`check_heterogeneity()`

for data with missing values.Fix issue in

`dof_ml1()`

when random-effect terms where character vectors.Fix issue in

`print()`

method for`model_parameters()`

that printed empty lines for rows with complete missing values. Empty lines are now removed.Fix issue in

`parameters_type()`

when`exp()`

was used in a model formula.

`metaplus`

(*metaplus*),`glht`

(*multcomp*),`glmm`

(*glmm*),`manova`

(*stats*),`crq`

and`crqs`

(*quantreg*)Improved support for models from the

*rms*package.

Improved parameters formatting for ordered factors in

`model_parameters()`

(and`format_parameters()`

).Argument

`df_method`

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

`select_parameters()`

for mixed models, and revised docs and associated vignette.

Allow

`threshold`

to be passed to`efa_to_cfa()`

when the model is from`factor_analysis()`

.Allow correlation matrix to be passed to

`factor_analysis()`

.Fix CRAN check issues.

Fix issue in

`model_parameters()`

for models with non-estimable parameters or statistics.Fix issue in

`model_parameters()`

for*plm*models with only one parameter.Fix issue in

`check_heterogeneity()`

in case no predictor would cause heterogeneity bias.Make sure

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

`robmixglm`

(*robmixglm*),`betaor`

,`betamfx`

,`logitor`

,`poissonirr`

,`negbinirr`

,`logitmfx`

,`probitmfx`

,`poissonmfx`

,`negbinmfx`

(*mfx*), partial support`emmGrid`

(*emmeans*)

`simulate_parameters()`

and `simulate_model()`

has a nicer

`print()`

method.now also simulate parameters from the dispersion model for

*glmmTMB*objects.gets a

`verbose`

argument, to show or hide warnings and messages.

- fix issue with rank deficient models.

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

or CIs for standardized parameters from`model_parameters()`

when standardization method was`"posthoc"`

).

`averaging`

(*MuMIn*),`bayesx`

(*R2BayesX*),`afex_aov`

(*afex*)

`check_heterogeneity()`

as a small helper to find variables that have a within- and between-effect related to a grouping variable (and thus, may result in heterogeneity bias, see this vignette).

`equivalence_test()`

gains a

`rule`

argument, so equivalence testing can be based on different approaches.for mixed models gains an

`effect`

argument, to perform equivalence testing on random effects.gains a

`p_values`

argument, to calculate p-values for the equivalence test.now supports more frequentist model objects.

`describe_distribution()`

now works on grouped data frames.

gains

`ci`

and`iterations`

arguments, to compute confidence intervals based on bootstrapping.gains a

`iqr`

argument, to compute the interquartile range.`SE`

column was removed.

`model_parameters()`

`model_parameters()`

for Stan-models (*brms*,*rstanarm*) gains a`group_level`

argument to show or hide parameters for group levels of random effects.Improved accuracy of confidence intervals in

`model_parameters()`

with`standardize = "basic"`

or`standardize = "posthoc"`

.`model_parameters.merMod()`

no longer passes`...`

down to bootstrap-functions (i.e. when`bootstrap = TRUE`

), as this might conflict with`lme4::bootMer()`

.For ordinal models (like

`MASS::polr()`

or`ordinal::clm()`

), a`Component`

column is added, indicating intercept categories (`"alpha"`

) and estimates (`"beta"`

).The

`select`

-argument from`print.parameters_model()`

now gets a`"minimal"`

-option as shortcut to print coefficients, confidence intervals and p-values only.

`parameters_table()`

and`print.parameters_model()`

now explicitly get arguments to define the digits for decimal places used in output.`ci()`

,`standard_error()`

,`p_value()`

and`model_parameters()`

for*glmmTMB*models now also works for dispersion models.

Fixed issue in

`equivalence_test()`

for mixed models.Fixed bug for

`model_parameters.anova(..., eta_squared = "partial")`

when called with non-mixed models.Fixed issue with wrong degrees of freedom in

`model_parameters()`

for*gam*models.Fixed issue with unused arguments in

`model_parameters()`

.

- Remove ‘Zelig’ from suggested packages, as it was removed from CRAN.

`model_parameters()`

now also transforms standard errors when`exponentiate = TRUE`

.`model_parameters()`

for`anova()`

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

for`aov()`

gains a`type`

-argument to compute type-1, type-2 or type-3 sums of squares.`model_parameters()`

for Bayesian models gains a`standardize`

argument, to return standardized parameters from the posterior distribution.Improved

`print()`

method for`model_parameters()`

for nested`aov()`

(repeated measurements).You can now control whether

`demean()`

should add attributes to indicate within- and between-effects. This is only relevant for the`print()`

-method of`model_parameters()`

.

- Fixed
`model_parameters()`

for`anova()`

from*lmerTest*models.

Alias

`model_bootstrap()`

was removed, please use`bootstrap_model()`

.Alias

`parameters_bootstrap()`

was removed, please use`bootstrap_parameters()`

.Alias

`model_simulate()`

was removed, please use`simulate_model()`

.Alias

`parameters_simulate()`

was removed, please use`simulate_parameters()`

.Alias

`parameters_selection()`

was removed, please use`select_parameters()`

.Alias

`parameters_reduction()`

was removed, please use`reduce_parameters()`

.Functions

`DDR()`

,`ICA()`

and`cmds()`

are no longer exported, as these were intended to be used internally by`reduce_parameters()`

only.`skewness()`

and`kurtosis()`

always return a data frame.

- Added support for
`arima`

(*stats*),`bife`

(*bife*),`bcplm`

and`zcpglm`

(*cplm*)

Improved print-method for

`model_parameters.brmsfit()`

.Improved print-method for

`model_parameters.merMod()`

when fitting REWB-Models (see`demean()`

).Improved efficiency for

`model_parameters()`

(for linear mixed models) when`df_method = "kenward"`

.`model_parameters()`

gets a`p_adjust`

-argument, to adjust p-values for multiple comparisons.Minor improvements for

`cluster_analysis()`

when`method = "kmeans"`

and`force = TRUE`

(factors now also work for kmeans-clustering).

`p_value_kenward()`

,`se_kenward()`

etc. now give a warning when model was not fitted by REML.Added

`ci()`

,`standard_error()`

and`p_value()`

for*lavaan*and*blavaan*objects.Added

`standard_error()`

for*brmsfit*and*stanreg*objects.

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

`skewness()`

,`kurtosis()`

and`smoothness()`

get an`iteration`

argument, to set the numbers of bootstrap replicates for computing standard errors.Improved print-method for

`factor_analysis()`

.`demean()`

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

Fixed minor issue with the

`print()`

-method for`model_parameters.befa()`

.Fixed issues in

`model_parameters()`

(for linear mixed models) with wrong order of degrees of freedom when`df_method`

was different from default.Fixed issues in

`model_parameters()`

(for linear mixed models) with accuracy of p-values when`df_method = "kenward`

.Fixed issues in

`model_parameters()`

with wrong test statistic for*lmerModLmerTest*models.Fixed issue in

`format_parameters()`

(which is used to format output of`model_parameters()`

) for factors, when variable name was also part of factor levels.Fixed issue in

`degrees_of_freedem()`

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

`model_parameters()`

for*mlm*models.Fixed issue in

`random_parameters()`

for uncorrelated random effects.