Skip to content

Latest commit

 

History

History
418 lines (310 loc) · 15.6 KB

NEWS.md

File metadata and controls

418 lines (310 loc) · 15.6 KB

broom.helpers (development version)

Fixes

  • variable labels are now returned by model_list_variables() for svycoxph models (#275)

broom.helpers 1.17.0

Deprecated functions and changes in selectors functions

  • selectors such as all_categorical() are now compatible with gtsummary version ≥ 2.0.0 (#270)
  • new function scope_tidy() to scope a tidy tibble allowing to tidy select (#270)
  • .select_to_varnames(), .formula_list_to_named_list(), .generic_selector() and .is_selector_scoped() are now deprecated and will be removed in a future release: you may consider cards::process_selectors() and cards::process_formula_selectors() as alternatives (#270)

Fixes

  • model_get_model_frame.coxph() has been fixed to return a correct model frame a subject identifier is passed to survival::coxph() (#268)

Documentation

  • Documentation has been improved, showing now clearly the type expected for each argument (#272)

broom.helpers 1.16.0

New features

  • new argument model_matrix_attr in tidy_and_attach() and tidy_plus_plus() to attach model frame and model matrix to the model as attributes for saving some execution time (#254)
  • tidy_add_n() now returns n_ind the number of individuals, in addition to the number of observations (#251)
  • by default, tidy_parameters() calls now parameters::model_parameters() with pretty_names = FALSE for saving execution time (#259)
  • internal code now uses the native R pipe (|>), requiring therefore R >= 4.2 (#262)

Deprecated support

  • biglmm::bigglm() not supported anymore as biglmm has been removed from CRAN

Deprecated functions

  • tidy_marginal_means() is now deprecated, following deprecation of marginaleffects::marginal_means(). Use instead tidy_marginal_predictions() with the option newdata = "marginalmeans".
  • tidy_margins() is now indicated as superseded and may be deprecated if margins is removed from CRAN. tidy_avg_slopes() could be used as an alternative. (#252)

Fixes

  • tidy_multgee() has been fixed to properly identify the different y.levels (#260 @jackmwolf)
  • tidy_marginal_predictions() has been updated to avoid the use of the deprecated function marginaleffects::datagridcf() (#256)

broom.helpers 1.15.0

New supported models

  • support for mmrm::mmrm() models (#228)
  • support for survival::cch() models (#242)

New features

  • new tidy_post_fun argument in tidy_plus_plus() (#235)

Fix

  • fix the order of the levels of categorical variables in the results of tidy_marginal_predictions() (#245)
  • fix in supported_models
  • bug fix when using tidy_parameters() for mixed models (#238)
  • bug fix for survey::svyglm() models with replicate weights (#240)

broom.helpers 1.14.0

New features

  • support for MASS::contr.sdif() contrasts (#230)
  • support for pscl::zeroinfl() and pscl::hurdle() models (#232)
  • support for betareg::betareg() models (#234)

Fix

  • input of packageVersion() should be a character string (#225)

broom.helpers 1.13.0

New features

  • tidy_add_estimate_to_reference_rows() now also populate p-values and confidence intervals for sum contrasts (#220)
  • Marginal tidiers are now compatible with nnet::multinom(), MASS::polr(), ordinal::clm() and ordinal::clmm() models, as long as the type of models is supported by the corresponding package, for example, margins does not currently support nnet::multinom() models (#215)

Improvements

  • Marginal predictions vignette has been updated to follow changes in marginaleffects version 0.10.0 (#216)

broom.helpers 1.12.0

New features

  • Set of functions to support marginal predictions, contrasts and slopes / effects (#202):
    • A dedicated article presenting the concepts and the different functions has been added to the package documentation website
    • Several tidiers are provided to tidy results in a way that it could be used by broom.helpers functions.
    • Marginal Predictions: tidy_marginal_predictions(), plot_marginal_predictions(), tidy_all_effects(), and tidy_ggpredict()
    • Marginal Means: tidy_marginal_means()
    • Marginal Contrasts: tidy_avg_comparisons() and tidy_marginal_contrasts()
    • Marginal Effects: tidy_avg_slopes() and tidy_margins()
  • New method model_list_higher_order_variables() to list the highest order combinations of variables (#202)
  • New method model_get_response_variable() to get the name of the response variable (#202)
  • New helper function seq_range() to generate a sequence of values between the minimum and the maximum of a vector (#202)
  • New argument contrasts_adjust in tidy_plus_plus(), tidy_add_pairwise_contrasts() and model_get_pairwise_contrasts() allowing to change the adjustment method used to compute pairwise contrasts (#204)

broom.helpers 1.11.0

New features

  • New functions tidy_add_pairwise_contrasts() and model_get_pairwise_contrasts() to compute pairwise contrasts of categorical variables with emmeans, and corresponding new arguments in tidy_plus_plus() (#192)
  • New tidier tidy_margins() to display Average Marginal Effects (#195)
  • New tidier tidy_all_effects() to display Marginal Predictions (#195)
  • New tidier tidy_ggpredict() to display Conditional Predictions (#195)

Bug fixes and improvements

  • Better messages when exponentiate argument is not appropriate (#197)

broom.helpers 1.10.0

New features

  • tidy_select_variables() now sorts the variables according to include (#183)

New supported models

  • Support for logitr::logitr() models (#179)
  • Experimental support for multgee::nomLORgee() and multgee::ordLORgee() models (#185)

Bug fixes and improvements

  • Improvement of .get_package_dependencies() to be more efficient. It now looks only at a single package description file (#178)
  • New function .get_all_packages_dependencies() to list all dependencies of all packages (#178)
  • Bug fix in .get_min_version_required() (#181)

broom.helpers 1.9.0

New features

  • New function .get_package_dependencies() listing all dependencies, including minimum version required, of a package. (#171)
  • Improvement of .assert_package() now taking into account the comparison operator (> or >=) when a minimum version is required (#171)

Bug fixes and improvements

  • Compatibility with upcoming tidyselect v1.2.0 (#173)
  • Avoid an unwanted warning for some mgcv::gam() models (#175)

broom.helpers 1.8.0

New supported models

  • Support for parsnip::model_fit objects (#161)
  • Support for biglm::bigglm() and biglmm::bigglm() models (#155)
  • Support for fixest::feglm(), fixest::femlm(), fixest::feols() and fixest::feNmlm() (requires R>=4.1) (#167)

New features

  • Support for dplyr::vars() (also exported by {gtsummary}) as a selector has now been deprecated. Users will be warned that support for vars() will eventually be removed from the package (#154)
  • .is_selector_scoped(), an internal function used in generating custom selector functions, is now exported (#163)

broom.helpers 1.7.0

New features

  • The .assert_package() now uses rlang::check_installed() and rlang::is_installed() to check whether needed packages are installed. The rlang::check_installed() prompts user to install needed package when run interactively. (#147)
  • tidy_add_n() and model_get_n() support for tidycmprsk::crr() models (#143)
  • Listing of supported models is now available in supported_models tibble (#145)

Bug fixes

  • Avoiding duplicating rows when applying tidy_add_n() to a mgcv::gam() model with smooth terms (#150)

broom.helpers 1.6.0

New supported models

  • Support for plm::plm() models (#140)

New features

  • The .formula_list_to_named_list() now respects the select_single= argument for all inputs types. Previously, named lists were ignored.
  • Added new argument .formula_list_to_named_list(null_allowed=) argument that works in conjunction with type_check= asserting the class/type of the RHS of the formula (or the value of the named list) (#137)
  • Better error message in .formula_list_to_named_list() (#136)
  • Two additional select helpers all_ran_pars() and all_ran_vals()

Bug fixes

  • Fix so .formula_list_to_named_list(type_check=) checks RHS of a formula and the value of named list. (#138)

broom.helpers 1.5.0

New features

  • New method model_get_coefficients_type.tidycrr() (#128)
  • Updated error messaging about using broom.helpers::tidy_parameters() to include the package prefix. This message sometimes appears while running gtsummary::tbl_regression() where some users may not be aware where the tidy_paramters() function lives. (#129)
  • .formula_list_to_named_list() improvement: it is now possible to add a type check (#132)
  • New functions .assert_package() and .get_min_version_required() to check for a package's installation status and whether the installed version meets the minimum required version from the DESCRIPTION file (#134)

Bug fixes

  • Bug fix for identifying the levels of a logical variable (#125)
  • Bug fix for nnet::multinom() models with a binary outcome (#130)

broom.helpers 1.4.0

New supported models

  • Support for glmmTMB::glmmTMB() models (#119)

New features

  • Function arguments that accept formula-list values now have more flexible inputs. (#121)
    • The passed list may now be a combination of named lists and lists of formulas, e.g. list(trt ~ 1, all_continuous() ~ 2).
    • The shortcut ~ <value> may be now used to indicate everything() ~ <value>

Bug fixes

  • Bug fix for computing n for some binomial models computed with lme4::glmer() (#116)
  • Populating effect column when adding reference rows (#117)

broom.helpers 1.3.0

New supported models

  • Support of rstanarm::stan_glm() models
  • Basic support for VGAM::vglm() models (#105)

New features

  • Custom tieder tidy_parameters() based on parameters::model_parameters() (#104)
  • Custom tieder tidy_with_broom_or_parameters() (#104)
  • By default, tidy_plus_plus() now uses tidy_with_broom_or_parameters()
  • model_get_coefficients_type() now returns "prop_hazard" for cloglog-binomial models (#106)

broom.helpers 1.2.1

Bug fixes

  • Better identification of term labels for interaction terms using sum contrasts (#108)
  • Now tidy_add_n() works with multinomial models when y is not coded as a factor (#109)
  • glue added to Suggests

broom.helpers 1.2.0

New features

  • model_get_coefficients_type() now returns "relative_risk" for log-binomial models (#101)
  • New function tidy_disambiguate_terms() for disambiguating random-effect terms in mixed models and new options for tidy_plus_plus(): disambiguate_terms (TRUE by default) and disambiguate_sep (#98)
  • For mixed models, var_type column is now equal to "ran_pars" or "ran_vals" for random-effect parameters and values, based of the effect column returned by broom.mixed::tidy() (#90)
  • New contrasts type ("no.contrast") returned by model_list_contrasts()
  • New function tidy_add_n() to add the number of observations (and for relevant models the number of events and exposure time) (#64)
  • New option add_n in tidy_plus_plus() (#64)
  • New functions model_get_n(), model_get_weights(), model_get_offset(), model_get_response() and model_compute_terms_contributions() (#64)

New supported models

  • Support of lfe::felm() models (#79)
  • Support of brms::brm() models (#89)
  • Basic support of cmprsk::crr() models (#91)
  • Basic support of stats::nls() models (#97)
  • Models with categorical variable and no intercept now supported (#85)
  • Added support for mgcv::gam() models. (#82)

Bug fixes and other changes

  • Minor breaking change: strict argument removed from tidy_identify_variables() (#99)
  • Replaced usethis::ui_*() messaging with cli::cli_*() (#94)
  • Bug fix in tidy_add_term_labels() for variables with non standard names (#77)
  • Fix in vignette for old versions of rmarkdown (#95)

broom.helpers 1.1.0

  • Minor breaking change: column var_type returned by tidy_identify_variables() is now equal to "dichotomous" for categorical variables with only 2 levels
  • Minor breaking changes: for intercepts terms, tidy_identify_variables() now populates variable column by term content, instead of NA (#66)
  • Minor breaking change: If the variables can't be identified by tidy_identify_variables(), the variable column is now populated with the content of the term column (#63)
  • Exporting select helper utility functions (#65)
    • .generic_selector(): makes it easy to create selecting functions like all_continuous().
    • .select_to_varnames(): converts selecting syntax into character varnames
    • .formula_list_to_named_list(): takes the formula selecting syntax and converts it to a named list.
  • New selecting functions all_continuous(), all_categorical(), all_dichotomous(), all_contrasts(), all_intercepts() and all_interaction() for selecting variables from models (#54)
  • Added support for multiple imputation models from the {mice} package. The model passed must be the un-pooled models, and the pooling step included in tidy_fun= (#49 @ddsjoberg)
  • New function tidy_select_variables() to keep/drop selected variables in the output (#45)
  • New functions tidy_add_coefficients_type() and model_get_coefficients_type to get the type of coefficients (generic, logistic, Poisson or proportional hazard) used by a model (#46)
  • tidy_add_contrasts() and model_list_contrasts() now return an additional column contrasts_type
  • New no_reference_row argument for tidy_add_reference_rows() (#47)
  • New method model_get_nlevels to get the number of levels of categorical variables
  • New column var_nlevels returned by tidy_identify_variables(), model_identify_variables() and tidy_plus_plus()
  • Categorical terms can now be customized with a pattern taking into account term level, reference level and/or variable label, see model_list_terms_levels() and categorical_terms_pattern in tidy_plus_plus() and tidy_add_term_labels (#61)
  • model_list_terms_levels() now returns additional columns (level, reference_level, contrasts_type, var_label, var_levels and dichotomous)
  • model_list_variables() now returns an additional var_label column
  • The exponentiate argument is now passed to the tidy_*() functions, as an attribute attached to the tibble, as well as custom labels (variable_labels and term_labels)
  • show_single_row argument now accepts tidyselect notation (#51 @ddsjoberg)
  • tidy_add_estimate_to_reference_rows() now relies on emmeans for sum contrasts, allowing to cover a wider range of models
  • Tibbles returned by tidy_* functions also inherits of "broom.helpers" class (#56)
  • interaction_sep argument has been added to tidy_plus_plus()
  • Better management of variables with non standard names (#67)
  • .clean_backticks() and .escape_regex() are now exported
  • Bug fix for non standard variable names containing a character that would have a special meaning in a regular expression (#44)
  • Bug fix in tidy_add_header_rows() for nnet::multinom models: label for header rows was missing (#50)
  • Bug fix: now tidy_identify_variables() correctly identify class "integer" for this type of variables (#57)
  • Bug fix for tidy_add_header_rows() for continuous variables with a non standard name (#70)

broom.helpers 1.0.0

  • Initial version