insight - insight 1.4.2

Bug fixes

• Fix CRAN failures for Mac OS R-old-release.

Scientific Software - Peer-reviewed - R
Published by strengejacke 9 months ago

insight - insight 1.4.1

Changes

• get_varcov() now supports robust variance-covariance matrices for models of class glmmTMB (package glmmTMB). The argument vcov can be used to specify the robust variance-covariance matrix function. Furthermore, the component argument gains the "full" option, to return the full variance-covariance matrix, including the random effects (theta parameters).

• format_table() now also formats ROPE columns for superiority and inferiority.

• format_table() protects integer columns for non-specific column types.

• The numerics argument in get_datagrid() gains two new options, "integer" and "mode", to either return the rounded mean or the most frequent value of a numeric vector.

• Modified code base to address changes in the marginaleffects package from version 0.29.0 onwards.

Bug fixes

• Fixed issue with find_formula() with mhurdle models.

Scientific Software - Peer-reviewed - R
Published by strengejacke 9 months ago

insight - insight 1.4.0

Breaking changes

• apply_table_theme() was removed, since it was an experimental feature that is no longer used in any package.

Changes

• display(), print_md() and print_html() get a .table method.

• get_predicted() now supports chisq.test(), and returns the expected frequencies.

• export_table() gains better support for the tinytable package. Use format = "tt" to export tables into the tinytable-format. This can also be used with grouped tables, i.e. by = "group".

• export_table() gains arguments row_groups and column_groups, to group rows and columns in the exported table. Column groups currently only work for format = "tt".

• If arguments title, subtitle and footer in export_table() are set to an empty string "", no titles/subtitles/footers are printed, even if present as attributes.

• Added a .lavaan method for is_converged().

• The formerly internal function to extract various information about mixed models is now exported as get_mixed_info().

Bug fixes

• Fixed issue with models of class selection with multiple response variables.

• Fixed issue in get_datagrid() for factors with = in their levels.

• Fixed issue in find_random() for multivariate response models of class brms with special response options.

• Fixed issue in several functions for certain betareg-models that contained a "mu" component instead of "mean".

• Fixed CRAN check issues on M1 Macs.

Scientific Software - Peer-reviewed - R
Published by strengejacke 9 months ago

insight - insight 1.3.1

Changes

• New function get_model() to extract the model object from an arbitrary object, if the model object is stored as attribute of the parent object.

• The range argument in get_datagrid() gets a new option, "pretty", to create a range of pretty values.

• get_predicted() now supports models of class glmtoolbox::glmee.

• get_predicted() supports predicting the class membership for models from package brms with mixture() family, using predict = "classificaton".

• get_predicted() supports predicting the outcome by class membership for models from package brms with mixture() family, using predict = "link".

• get_residuals() gets a method for objects from parameters::factor_analysis(), psych::fa(), psych::omega() and psych::principal().

• model_info() returns $is_mixture to identify finite mixture models.

• Better support for models of class sdmTMB.

• Improve efficiency of clean_parameters() for more complex brms models.

Bug fixes

• Fixed issue in get_df() for models from package afex.

• Fixed issue in clean_names() for brms models with mm() in formula.

• Fixed issue in get_data() for brms models with mmc() in formula.

• Fixed issue in get_statistic() for objects of class aov.

Scientific Software - Peer-reviewed - R
Published by strengejacke 11 months ago

insight - insight 1.3.0

Breaking Changes

• The default option "all" for the effects argument of find_parameters() and get_parameters() for models from package brms and rstanarm has a new behaviour and only returns fixed effects and random effects variance components, but no longer the group level estimates. Use effects = "full" to return all parameters. This change is mainly to be more flexible and gain more efficiency for models with many parameters and / or many posterior draws.

New functions

• is_bayesian_model() as a convenient shortcut to check whether a model is Bayesian or not.

Changes

• Revised wording for alerts from get_variance().

• The effects argument of find_parameters() and get_parameters() for models from package brms and rstanarm get two new options, "grouplevel" and "random_variances", to return only random effects variance components, or group level effects. This is more efficient especially for models with many samples and many parameters. Additionally, a variable argument can be passed to get_parameters(), which is in turn passed to as.data.frame(), to extract parameters more efficiently.

• The by argument in export_table() now also splits tables when format is not "html".

Bug fixes

• Fixed issue in find_formula() for models of class barts (package dbarts), when formula was abbreviated using y ~ ..

Scientific Software - Peer-reviewed - R
Published by strengejacke about 1 year ago

insight - insight 1.2.0

Breaking Changes

• The handling of brms models in find_parameters(), find_formula() or clean_parameters() (and other functions) should now systematically take the many possible distributional parameters into account, identifying the different types of them, and assigning them to own values in the Component columns. insight should now be flexible enough to also cope with user-defined variables that have been modelled as distributional parameters.

• To be consistent with the naming pattern from package brms, all elements related to distributional parameters now returns exactly that "dpar" name. This means that, for instance, find_formula() no longer returns an element named $zero_inflated, but instead $zi. This only applies to models from brms! All other packages are not affected by this breaking change.

Changes

• find_random() and find_random_slopes() now also extract random effects names from auxiliary components.

• find_random() and find_random_slopes() now include random effects from the dispersion component for models from package glmmTMB.

• clean_parameters() for brms-models now assigns auxiliary parameters to their related Component and overwrites former assignments to "conditional".

• format_table() now includes more effect sizes when formatting column names.

• get_datagrid() now allows named vectors for arguments length and range, to match values with target variables defined in by.

• get_datagrid() gets a protect_integer argument, to allow a spread of values from minimum to maximum of length length, also for integer values.

• export_table() gets an argument column_names, to change the column names of the exported table.

• model_info() gains a response argument for classes that can be multivariate response models that return multiple lists of model information (currently, Stan models from rstanarm and brms). If not NULL, only the information for one of the response variables is returned.

• Creating a range of values in a get_datagrid() using by was now simplified and works like regular R syntax, e.g. by = "mpg = 20:50".

• get_predicted() for models of class brmsfit now supports Wiener models or similar so called "decision models", that simultaneously model, e.g., reaction times and (discrete) choices.

• get_predicted() no longer throws warnings for models of class brmsfit when distributional are predicted.

• find_offset() gets an as_term argument, which returns the offset as term, including possible transformations.

• Token-option "quartiles2" was removed and option "quartiles" now produces the three quartile values (lower hinge, median, upper hinge). The former option of "quartiles" that included minimum and maximum was identical to the already existing "fivenum" option.

• New function find_auxiliary(), which is a small helper to extract all distributional parameters that were used in models from package brms.

• display(), print_md() and print_html() get methods for matrix- and array objects.

• Cleaning / revising package documentation.

Bug fixes

• null_model() now correctly calculates the null-model based on the data that was used to fit the model (model frame), which can lead to different results when the original data contained missing values.

• Fixed issue for get_predicted() with multivariate response models.

Scientific Software - Peer-reviewed - R
Published by strengejacke about 1 year ago

insight - insight 1.1.0

Breaking Changes

• get_datagrid() no longer creates fractional parts when creating a range of values for numeric variables that are integers.

Changes

• get_datagrid() now includes a dummy column for model weights (values NA), to work with models that used weights.

• get_datagrid() gets a digits argument, to round numeric representative values.

• Argument ci_digits defaults to digits in format_table().

• format_table() gets a select argument, which can be used to select columns and column layout in a glue-like style.

• find_response() now also works for tidymodels workflows.

• get_transformation() and find_transformation() now also detect log-transformation with logarithmic base.

Bug fixes

• Fixed issue in find_formula(), find_response() and find_predictors() for multinomial gam models from package mgcv.

Scientific Software - Peer-reviewed - R
Published by strengejacke about 1 year ago

insight - insight 1.0.2

Changes

• get_datagrid() gives a more informative error message when a variable specified in by was not found in the data.

• The by argument in get_datagrid() gets a new token-option, "[sample <number>]", to draw a random sample of values.

Bug fixes

• Option "terciles" and "terciles2" in get_datagrid() were swapped, i.e. "terciles" was doing what was documented for "terciles2" and vice versa. This has been fixed.

• include_random in get_datagrid() now works for nested random effects, i.e. for more than one group level factor in the random effects.

• Fixed issue in get_varcov() for models of class brmsfit that included monotonic effects.

Scientific Software - Peer-reviewed - R
Published by strengejacke over 1 year ago

insight - insight 1.0.1

General

• Support for models of class oohbchoice (package DCchoice).

• format_table() gets a stars_only argument, to format p-value columns to contain only significance stars.

• get_predicted() for brms-models with categorical family now includes the data of the data grid in the returned predictions, for better orientation.

Bug fixes

• Fixed issues due to latest mice updates.

• Fixed typo in get_parameters.glmmadmb(), which was erroneously renamed into get_parameters.glmmTMBadmb().

• Fixed issues in find_predictors() and has_intercept() for brms models with 0 + Intercept formula notation.

• Fixed issues in get_statistic() for models of class fixest from negative-binomial families.

• Fixed issue with as.numeric() method for get_sigma().

• get_datagrid() now only returns valid levels when include_random = TRUE and group-level factor in random effects is numeric.

Scientific Software - Peer-reviewed - R
Published by strengejacke over 1 year ago

insight - insight 1.0.0

Breaking changes

• All deprecated arguments have been removed.

• The table_width argument in export_table() now defaults to "auto".

General

• get_transformation() can now deal with any power-transformation, and also returns results for divisions (scaled response) and Box-Cox transformations.

• find_transformation() and get_transformation() now also detects use of divisions, like x/3 or Box-Cox transformations (like (x^lambda - 1) / lambda).

• find_transformation() and get_transformation() get a include_all argument, to check all model terms for transformations.

• get_dispersion() is now an exported function.

• Updated get_varcov() (and related documentation) to support new covariance matrix estimation methods from the sandwich package.

• New function validate_argument() as a replacement for match.arg() with more informative error message.

• The function to calculate the corrections for likelihood-values when the response-variable is transformed is now exported as get_likelihood_adjustment().

• export_table() can now split tables into more than three tables when table_width is used (formerly, the maximum number of split tables was three).

• Changed (improved) formatting for parameter tables in export_table(), when format = "html". Rows are indented, and group headers are emphasized in italic.

• formula_ok() now also checks for syntactically invalid variable names. Furthermore, argument checks now allows to specify for which possibly problematic formula notation should be checked.

• format_value() gains a decimal_point argument, to change the decimal point in output conversion.

• format_bf() with stars = TRUE uses the ° symbol for inferiority (evidence against the comparison).

• Added support for coxph.panel models.

• Added support for models of class asym (package panelr).

• Overhaul of documentation for the package-functions.

Bug fix

• clean_parameters() now uses the correct labels for the random effects variances ("SD/Cor" has changed to "Var/Cov").

• When get_data() could not properly evaluate the subset of a data set, it now returns an informative warning and no longer errors.

• Fixed inaccuracy in get_sigma() for models of class brmsfit.

• Fixed issues in get_variance() for models of class brmsfit when the sigma-parameter was directly modeled.

• Fixed issue in compact_character() and compact_list() for date-variables.

• Fixed edge case in find_transformation() for simple log-transformation of the response variable.

• Fixed issue for model_info.averaging().

Scientific Software - Peer-reviewed - R
Published by strengejacke over 1 year ago

insight - insight 0.20.5

General

• get_datagrid() can now be used to extract the "grid" information from {emmeans} and {marginaleffects} outputs.

• Arguments na.rm and na_rm are deprecated throughout the package's functions. Instead, use remove_na.

Bug fixes

• Fixed rendering issue of the example in ?insight::display.

• Fixed issues due to recent changes in the glmmTMB package.

Scientific Software - Peer-reviewed - R
Published by strengejacke over 1 year ago

insight - insight 0.20.4

New supported models

• Support for models of classes glm_weighit, multinom_weightit and ordinal_weightit (package WeightIt).

Changes

• null_model() and formula_ok() now warn when indexed data frames, such as df[, 5], are used as response variable in the formula, as this can lead to unexpected results.

• Minor improvements to link_function() and link_inverse().

Bug fixes

• Fixed regression from latest fix related to get_variance() for brms models.

• Fixed issue in link_function() and link_inverse() for models of class cglm with "identity" link, which was not correctly recognized due to a typo.

Scientific Software - Peer-reviewed - R
Published by strengejacke over 1 year ago

insight - insight 0.20.3

Changes

• get_df() now supports more model classes.

• get_variance() gives an informative error if no mixed model is provided.

Bug fixes

• Fixed issue in find_formula(), find_predictors() and find_variables() for models from package brms with custom formulas.

• Fixed issues in find_response() for brms models with mi() function in the response variable.

• Fixed issue in get_variance() that could lead to recursive calls for brms models, resulting in "infinite" resampling of the model.

• Fixed issue in check_if_installed() that erroneously tried to guess the minimum required package version based on the SUGGEST field of the insight package, instead of the package that was calling the function.

• Fixed issue in get_modelmatrix() for models from package brms with special functions in the formula (like mo()).

• Fixed issue in ellipses_info() when this function was called from do.call().

• Fixed issue with formatting unicode-symbols, where a wrong unicode-character was used for "Omega". Furthermore, Omega2 and Eta2 are now correctly converted.

Scientific Software - Peer-reviewed - R
Published by strengejacke almost 2 years ago

insight - insight 0.20.2

New supported models

• Support for models of class glmgee (package glmtoolbox).

• Support for models of class svy2lme (package svylme).

General

• Massive overhaul of get_variance(). The function should be now more accurate for different distributional families, in particular for mixed regression models with Beta family.

• Improved accuracy of singularity-checks in get_variance().

• get_variance() gets a few new arguments:

  • null_model, to provide a null-model to be used for the calculation of random effect variances. If NULL, the null-model is computed internally. This argument is optional, but may be useful to save time, or when the null-model cannot be calculated internally.
  • approximation, indicating the approximation method for the distribution-specific (observation level, or residual) variance.
  • model_component, for models that can have a zero-inflation component, specify for which component variances should be returned. By default, both the conditional and the zero-inflation component are taken into account.

• format_alert() and format_warning() get an immediate argument, to output warnings immediately.

• find_terms() and find_transformation() now better cope with inverse transformations of the response value, such as 1/y.

• get_transformation() now returns more transformations for power-transformed response variables.

• model_info() for MixMod objects from package GLMMadaptive now recognize zero-inflation and hurdle models for custom families.

Bug fixes

• null_model() now correctly handles zero-inflated models from package glmmTMB.

• Fixed issue in null_model() for models from package GLMMadaptive.

• Fixed issues in link_inverse() and link_function() for models of class gamlss from LOGNO() family.

Scientific Software - Peer-reviewed - R
Published by strengejacke almost 2 years ago

insight - insight 0.20.1

Bug fixes

• Fixed possible memory allocation issues when the deprecated argument at was used in get_datagrid()

Scientific Software - Peer-reviewed - R
Published by strengejacke almost 2 years ago

insight - insight 0.20.0

Breaking

• Arguments named group, at, group_by and split_by will be deprecated in future releases of easystats packages. Please use by instead. This affects following functions in insight:

  • export_table()
  • get_datagrid()
  • print_parameters()

Bug fixes

• Fixed errors in CRAN checks.

• Fixed issues in compact_list() for objects that contained variables of class vctrs.

Scientific Software - Peer-reviewed - R
Published by strengejacke almost 2 years ago

insight - insight 0.19.11

General

• More informative error message for get_varcov() when the requested vcov-function failed.

Bug fixes

• Fixed issue with get_data() for coxme models when sourcewas set to "modelframe".

Scientific Software - Peer-reviewed - R
Published by strengejacke about 2 years ago

insight - 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.

Scientific Software - Peer-reviewed - R
Published by strengejacke about 2 years ago

insight - 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.

Scientific Software - Peer-reviewed - R
Published by strengejacke about 2 years ago

insight - 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.

Scientific Software - Peer-reviewed - R
Published by strengejacke over 2 years ago

insight - 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.

Scientific Software - Peer-reviewed - R
Published by strengejacke over 2 years ago

insight - 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).

Scientific Software - Peer-reviewed - R
Published by strengejacke over 2 years ago

insight - insight 0.19.5

Bug fixes

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

Scientific Software - Peer-reviewed - R
Published by strengejacke over 2 years ago

insight - 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.

Scientific Software - Peer-reviewed - R
Published by strengejacke over 2 years ago

insight - 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.

Scientific Software - Peer-reviewed - R
Published by strengejacke almost 3 years ago

insight - 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.

Scientific Software - Peer-reviewed - R
Published by strengejacke about 3 years ago

insight - 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.

Scientific Software - Peer-reviewed - R
Published by strengejacke about 3 years ago

insight - insight 0.19.0

New supported models

• mmrm (package mmrm), flac and flic (logistf)

Breaking changes

• get_data() was revised and now always tries to recover the data that was used to fit a model from the environment. If this fails, it falls back to recovering data from the model frame (the former default behaviour). Futrhermore, the source argument can be used to explicitly force the old behaviour: source = "mf" will try to recover data from the model frame first, then possibly falling back to look in the environment.

New functions

• n_grouplevels(), to return random effect groups and number of group levels for mixed models.

Changes to functions

• get_datagrid() preserves all factor levels for factors that are hold constant at their reference level. This is required to work together with get_modelmatrix() when calculating standard errors for get_predicted().

Bug fixes

• Fixed but in get_modelmatrix() handling of incomplete factors which sometimes had downstream implications for numerical results in the uncertainty estimates produced by get_predicted().

• Fixed minor issues for HTML tables in export_table() when model parameters were grouped.

• Fixed issue with incorrect back-transforming in get_data() for models with log-transformed variables.

• Fixes issue in compact_list().

• has_single_value() now returns FALSE when the object only has NA and na.rm = TRUE.

• Fixed issue in get_parameters() for gam-models without smooth terms, or with only smooth terms and removed intercept.

Scientific Software - Peer-reviewed - R
Published by strengejacke over 3 years ago

insight - insight 0.18.8

insight 0.18.8

Bug fixes

• Fixed test due to changes in the performance package.

Scientific Software - Peer-reviewed - R
Published by strengejacke over 3 years ago

insight - insight 0.18.7

General

• Minor revisions to get_predicted.glmmTMB() due to changes in behaviour of predict.glmmTMB() for truncated-family models since glmmTMB 1.1.5.

• New function has_single_value() that is equivalent to length(unique()) == 1 (or n_unique() == 1) but faster.

Changes to functions

• ellipses_info() now includes an attribute $is_binomial, which is TRUE for each model from binomial family.

Bug fixes

• Fixed behaviour of the at argument in get_datagrid().

• Fixed issue for accessing model data in get_datagrid() for some edge cases.

Changes based on PRs/commits:

• make at argument more intuitive by @strengejacke in https://github.com/easystats/insight/pull/676
• Edgecase: when 'k' is a variable in GAM's s(), datagrid fails by @strengejacke in https://github.com/easystats/insight/pull/682
• Revdep issues with glmmTMB by @strengejacke in https://github.com/easystats/insight/pull/680
• Implement has_one_value() by @etiennebacher in https://github.com/easystats/insight/pull/683
• CRAN submission by @strengejacke in https://github.com/easystats/insight/pull/685

Scientific Software - Peer-reviewed - R
Published by strengejacke over 3 years ago

insight - insight 0.18.6

Bug fixes

• Better dectection of unicode-support, to avoid failures when building vignettes.

• get_predicted() now correctly handles variables of class numeric matrix created by scale(), which fixes a bug in performance::check_model() (easystats/performance#432).

• Fixed issue with iterations argument in get_predicted() with brms models.

• Support the logitr package: get_data(), find_variables() and more.

Scientific Software - Peer-reviewed - R
Published by strengejacke over 3 years ago

insight - insight 0.18.5

Breaking

• get_df(type = "satterthwaite") for lmerMod objects now return degrees of freedom per parameter, and no longer per observation. Use df_per_obs TRUE to return degrees of freedom per observation.

New functions

• safe_deparse_symbol() to only deparses a substituted expressions when possible,which increases performance in case many calls to deparse(substitute()).

Changes to functions

• format_table() gets a use_symbols argument. If TRUE, column names that refer to particular effectsizes (like Phi, Omega or Epsilon) include the related unicode-character instead of the written name. This only works on Windows for R >= 4.2, and on OS X or Linux for R >= 4.0.

• The stars argument in format_table() can now also be a character vector, naming the columns that should include stars for significant values. This is especially useful for Bayesian models, where we might have multiple columns with significant values, e.g. "BF" for the Bayes factor or "pd" for the probability of direction.

• get_df() gets more type options to return different type of degrees of freedom (namely, "wald" and "normal", and for mixed models, "ml1", "betwithin", "satterthwaite" and "kenward-roger").

• standardize_names() now recognized more classes from package marginaleffects.

• Minor improvements to find_parameters() for models with nonlinear formula.

• Minor speed improvements.

Bug fixes

• Fixed issue in get_data() for models of class plm, which accidentally converted factors into character vectors.

• Fixed issue with column alignment in export_table() when the data frame to print contained unicode-characters longer than 1 byte.

• Correctly extract predictors for fixest::i(f1, i.f2) interactions (#649 by @grantmcdermott).

Scientific Software - Peer-reviewed - R
Published by strengejacke over 3 years ago

insight - insight 0.18.4

Changes to functions

• model_info() now includes information for htest objects from shapiro.test() and bartlett.test() (will return $is_variancetest = TRUE).

Bug fixes

• Fixed issue in get_data() which did not correctly backtransform to original data when terms had log-transformations such as log(1 + x) or log(x + 1).

Scientific Software - Peer-reviewed - R
Published by strengejacke over 3 years ago

insight - insight 0.18.3

New functions

• format_alert(), format_warning() and format_error(), as convenient wrappers around message(), warning() or stop() in combination with format_message(). You can use these functions to format messages, warnings or errors.

Changes to functions

• get_predicted() for models of class clm now includes confidence intervals of predictions.

• format_message() gets some additional formatting features. See 'Details' in ?format_message for more information and some current limitations.

• format_message() gets an indent argument, to specify indention string for subsequent lines.

• format_table() now merges IC and IC weights columns into one column (e.g., former columns "AIC" and "AIC_wt" will now be printed as one column, named "AIC (weights)"). Furthermore, an ic_digits argument was added to control the number of significant digits for the IC values.

• print_color() and color_text() now support bright variants of colors and background colors.

• get_datagrid() gets more options for at and range, to provide more control how to generate the reference grid.

• get_data() for models of class geeglm and fixestnow more reliably retrieves the model data.

New supported models

• Support for models of class mblogit and mclogit.

Bug fixes

• Fixed issues with wrong attribute adjusted_for in insight::get_datagrid().

• Fixed issue (resp. implemented workaround) in get_data.iv_robust(), which failed due to a bug in the estimatr package.

• Fixed issue where get_predicted() failed when data contains factors with only one or incomplete levels.

• Fixed issue in get_predicted() for models of class mlm.

• Fixed issue where get_predicted() failed to compute confidence intervals of predictions when model contained matrix-alike response columns, e.g. a response variable created with cbind().

Scientific Software - Peer-reviewed - R
Published by strengejacke over 3 years ago

insight - insight 0.18.2

New functions

• format_percent() as short-cut for format_value(as_percent = TRUE).

• is_converged(), to check whether a mixed model has converged or not.

Changes to functions

• format_table() gains an exact argument, to either report exact or rounded Bayes factors.

• get_predicted() gets a method for models of class gamlss (and thereby, get_loglikelihood() now also works for those model classes).

• get_predicted() now better handles models of class polr, multinom and rlm.

Bug fixes

• Fixed test failures.

• Minor fixes to address changes in other packages.

Scientific Software - Peer-reviewed - R
Published by strengejacke almost 4 years ago

insight - insight: A Unified Interface to Access Information from Model Objects in R

When fitting any statistical model, there are many useful pieces of information that are simultaneously calculated and stored beyond coefficient estimates and general model fit statistics. Although there exist some generic functions to obtain model information and data, many package-specific modeling functions do not provide such methods to allow users to access such valuable information.

insight is an R-package that fills this important gap by providing a suite of functions to support almost any model (see a list of the many models supported below in the List of Supported Packages and Models section). The goal of insight, then, is to provide tools to provide easy, intuitive, and consistent access to information contained in model objects. These tools aid applied research in virtually any field who fit, diagnose, and present statistical models by streamlining access to every aspect of many model objects via consistent syntax and output.

Scientific Software - Peer-reviewed - R
Published by strengejacke over 6 years ago

insight - insight: A Unified Interface to Access Information from Model Objects in R

When fitting any statistical model, there are many useful pieces of information that are simultaneously calculated and stored beyond coefficient estimates and general model fit statistics. Although there exist some generic functions to obtain model information and data, many package-specific modeling functions do not provide such methods to allow users to access such valuable information. 

insight is an R-package that fills this important gap by providing a suite of functions to support almost any model (see a list of the many models supported below in the List of Supported Packages and Models section). The goal of insight, then, is to provide tools to provide easy, intuitive, and consistent access to information contained in model objects. These tools aid applied research in virtually any field who fit, diagnose, and present statistical models by streamlining access to every aspect of many model objects via consistent syntax and output.

Scientific Software - Peer-reviewed - R
Published by strengejacke almost 7 years ago