insight 0.19.10

Bug fixes

• 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.

insight 0.19.9

New supported models

• Support for models of class serp (package serp).

General

• standardize_names() now also recognizes column s.value from objects of
  package marginaleffects.

Bug fixes

• 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.

insight 0.19.8

General

• 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.

Bug fixes

• 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.

insight 0.19.7

General

• 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.

Changes to functions

• get_varcov() for models of class pgmm (package plm) now also supported
  robust variance-covariance matrices (i.e. argument vcov).

Bug fixes

• 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.

insight 0.19.6

General

• Improved documentation for get_predicted_ci().

Changes to functions

• 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.

Bug fixes

• 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).

insight 0.19.5

Bug fixes

• Fixed critical issue with check_if_installed() for old R releases.

insight 0.19.4

Changes to functions

• 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.

Bug fixes

• Fixed issue with invalid multibyte strings in trim_ws().

• Fixed issue in find_statistic() for models from package fixest.

insight 0.19.3

Breaking changes

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

Changes to functions

• 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.

Bug fixes

• 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.

insight 0.19.2

Breaking changes

• 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.

General

• Improved support for mclogit models (package mclogit) and mipo objects
  (package mice) for models with ordinal or categorical response.

New supported models

• phylolm and phyloglm (package phylolm), nestedLogit (package nestedLogit).

Bug fixes

• 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.

insight 0.19.1

New supported models

• hglm (package hglm).

Changes to functions

• 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.

Bug fixes

• 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.