parameters 0.21.7

Changes

• Fixed issues related to latest release from marginaleffects.

Bug fixes

• Fixes issue in compare_parameters() for models from package blme.

• Fixed conflict in model_parameters() when both include_reference = TRUE and
  pretty_names = "labels" were used. Now, pretty labels are correctly updated
  and preserved.

parameters 0.21.6

New supported models

• Support for models of class serp (serp).

Changes

• include_reference can now directly be set to TRUE in model_parameters()
  and doesn't require a call to print() anymore.

• compare_parameters() gains a include_reference argument, to add the
  reference category of categorical predictors to the parameters table.

• print_md() for compare_parameters() now by default uses the tinytable
  package to create markdown tables. This allows better control for column
  heading spanning over multiple columns.

Bug fixes

• Fixed issue with parameter names for model_parameters() and objects from
  package epiR.

• Fixed issue with exponentiate = TRUE for model_parameters() with models
  of class clmm (package ordinal), when model had no component column
  (e.g., no scale or location parameters were returned).

• include_reference now also works when factor were created "on-the-fly" inside
  the model formula (i.e. y ~ as.factor(x)).

parameters 0.21.5

Bug fixes

• Fixes CRAN check errors related to the changes in the latest update of
  marginaleffects.

parameters 0.21.4

Breaking changes

• The exponentiate argument of model_parameters() for
  marginaleffects::predictions() now defaults to FALSE, in line with all
  the other model_parameters() methods.

Changes

• model_parameters() for models of package survey now gives informative
  messages when bootstrap = TRUE (which is currently not supported).

• n_factors() now also returns the explained variance for the number of
  factors as attributes.

• model_parameters() for objects of package metafor now warns when unsupported
  arguments (like vcov) are used.

• Improved documentation for pool_parameters().

Bug fixes

• print(include_reference = TRUE) for model_parameters() did not work when
  run inside a pipe-chain.

• Fixed issues with format() for objects returned by compare_parameters()
  that included mixed models.

parameters 0.21.3

Changes

• principal_components() and factor_analysis() now also work when argument
  n = 1.

• print_md() for compare_parameters() now gains more arguments, similar to
  the print() method.

• bootstrap_parameters() and model_parameters() now accept bootstrapped
  samples returned by bootstrap_model().

• The print() method for model_parameters() now also yields a warning for
  models with logit-links when possible issues with (quasi) complete separation
  occur.

Bug fixes

• Fixed issue in print_html() for objects from package ggeffects.

• Fixed issues for nnet::multinom() with wide-format response variables (using
  cbind()).

• Minor fixes for print_html() method for model_parameters().

• Robust standard errors (argument vcov) now works for plm models.

parameters 0.21.2

Changes

• Minor improvements to factor analysis functions.

• The ci_digits argument of the print() method for model_parameters() now
  defaults to the same value of digits.

• model_parameters() for objects from package marginaleffects now also
  accepts the exponentiate argument.

• The print(), print_html(), print_md() and format() methods for
  model_parameters() get an include_reference argument, to add the reference
  category of categorical predictors to the parameters table.

Bug fixes

• Fixed issue with wrong calculation of test-statistic and p-values in
  model_parameters() for fixest models.

• Fixed issue with wrong column header for glm models with
  family = binomial("identiy").

• Minor fixes for dominance_analysis().

parameters 0.21.1

General

• Added support for models of class nestedLogit (nestedLogit).

Changes to functions

• model_parameters() now also prints correct "pretty names" when predictors
  where converted to ordered factors inside formulas, e.g. y ~ as.ordered(x).

• model_parameters() now prints a message when the vcov argument is provided
  and ci_method is explicitly set to "profile". Else, when vcov is not
  NULL and ci_method is NULL, it defaults to "wald", to return confidence
  intervals based on robust standard errors.

parameters 0.21.0

Breaking Changes

• It is no longer possible to calculate Satterthwaite-approximated degrees of
  freedom for mixed models from package nlme. This was based on the
  lavaSearch2 package, which no longer seems to support models of class lme.

Changes to functions

• Improved support for objects of class mipo for models with ordinal or
  categorical outcome.

parameters 0.20.3

General

• Added support for models of class hglm (hglm), mblogit (mclogit),
  fixest_multi (fixest), and phylolm / phyloglm (phylolm).

• as.data.frame methods for extracting posterior draws via bootstrap_model()
  have been retired. Instead, directly using bootstrap_model() is recommended.

Changes to functions

• equivalence_test() gets a method for ggeffects objects from package
  ggeffects.

• equivalence_test() now prints the SGPV column instead of % in ROPE.
  This is because the former % in ROPE actually was equivalent to the second
  generation p-value (SGPV) and refers to the proportion of the range of the
  confidence interval that is covered by the ROPE. However, % in ROPE did
  not refer to the probability mass of the underlying distribution of a confidence
  interval that was covered by the ROPE, hence the old column name was a bit
  misleading.

• Fixed issue in model_parameters.ggeffects() to address forthcoming changes
  in the ggeffects package.

Bug fixes

• When an invalid or not supported value for the p_adjust argument in
  model_parameters() is provided, the valid options were not shown in correct
  capital letters, where appropriate.

• Fixed bug in cluster_analysis() for include_factors = TRUE.

• Fixed warning in model_parameters() and ci() for models from package
  glmmTMB when ci_method was either "profile" or "uniroot".

parameters 0.20.2

General

• Reduce unnecessary warnings.

• The deprecated argument df_method in model_parameters()was removed.

• Output from model_parameters() for objects returned by manova() and
  car::Manova() is now more consistent.

Bug fix

• Fixed issues in tests for mmrm models.

• Fixed issue in bootstrap_model() for models of class glmmTMB with
  dispersion parameters.

• Fixed failing examples.