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New supported models
mmrm::mmrm()
models (#228)survival::cch()
models (#242)New features
tidy_post_fun
argument in tidy_plus_plus()
(#235)Fix
tidy_marginal_predictions()
(#245)supported_models
tidy_parameters()
for mixed models (#238)survey::svyglm()
models with replicate weights (#240)New features
MASS::contr.sdif()
contrasts (#230)pscl::zeroinfl()
and pscl::hurdle()
models (#232)betareg::betareg()
models (#234)Fix
packageVersion()
should be a character string (#225)New features
tidy_add_estimate_to_reference_rows()
now also populate p-values and confidence intervals for sum contrasts (#220)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
marginaleffects
version 0.10.0 (#216)New features
broom.helpers
functions.tidy_marginal_predictions()
, plot_marginal_predictions()
, tidy_all_effects()
, and tidy_ggpredict()
tidy_marginal_means()
tidy_avg_comparisons()
and tidy_marginal_contrasts()
tidy_avg_slopes()
and tidy_margins()
model_list_higher_order_variables()
to list the highest order combinations of variables (#202)model_get_response_variable()
to get the name of the response variable (#202)seq_range()
to generate a sequence of values between the minimum and the maximum of a vector (#202)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)New features
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)tidy_margins()
to display Average Marginal Effects (#195)tidy_all_effects()
to display Marginal Predictions (#195)tidy_ggpredict()
to display Conditional Predictions (#195)Bug fixes and improvements
exponentiate
argument is not appropriate (#197)New features
tidy_select_variables()
now sorts the variables according to include
(#183)New supported models
logitr::logitr()
models (#179)multgee::nomLORgee()
and multgee::ordLORgee()
models (#185)Bug fixes and improvements
.get_package_dependencies()
to be more efficient. It now looks only at a single package description file (#178).get_all_packages_dependencies()
to list all dependencies of all packages (#178).get_min_version_required()
(#181)New features
.get_package_dependencies()
listing all dependencies, including minimum version required, of a package. (#171).assert_package()
now taking into account the comparison operator (> or >=) when a minimum version is required (#171)Bug fixes and improvements
tidyselect
v1.2.0 (#173)mgcv::gam()
models (#175)New supported models
parsnip::model_fit
objects (#161)biglm::bigglm()
and biglmm::bigglm()
models (#155)fixest::feglm()
, fixest::femlm()
, fixest::feols()
and fixest::feNmlm()
(requires R>=4.1) (#167)New features
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)New features
.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)supported_models
tibble (#145)Bug fixes
tidy_add_n()
to a mgcv::gam()
model with smooth terms (#150)New supported models
plm::plm()
models (#140)New features
.formula_list_to_named_list()
now respects the select_single=
argument for all inputs types. Previously, named lists were ignored..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).formula_list_to_named_list()
(#136)all_ran_pars()
and all_ran_vals()
Bug fixes
.formula_list_to_named_list(type_check=)
checks RHS of a formula and the value of named list. (#138)New features
model_get_coefficients_type.tidycrr()
(#128)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).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
nnet::multinom()
models with a binary outcome (#130)New supported models
glmmTMB::glmmTMB()
models (#119)New features
list(trt ~ 1, all_continuous() ~ 2)
.~ <value>
may be now used to indicate everything() ~ <value>
Bug fixes
lme4::glmer()
(#116)New supported models
rstanarm::stan_glm()
modelsVGAM::vglm()
models (#105)New features
tidy_parameters()
based on parameters::model_parameters()
(#104)tidy_with_broom_or_parameters()
(#104)tidy_plus_plus()
now uses tidy_with_broom_or_parameters()
model_get_coefficients_type()
now returns “prop_hazard” for cloglog-binomial models (#106)Bug fixes
tidy_add_n()
works with multinomial models when y
is not coded as a factor (#109)glue
added to SuggestsNew features
model_get_coefficients_type()
now returns “relative_risk” for log-binomial models (#101)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)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)model_list_contrasts
()tidy_add_n()
to add the number of observations (and for relevant models the number of events and exposure time) (#64)add_n
in tidy_plus_plus()
(#64)model_get_n()
, model_get_weights()
, model_get_offset()
, model_get_response()
and model_compute_terms_contributions()
(#64)New supported models
lfe::felm()
models (#79)brms::brm()
models (#89)cmprsk::crr()
models (#91)stats::nls()
models (#97)mgcv::gam()
models. (#82)Bug fixes and other changes
strict
argument removed from tidy_identify_variables()
(#99)usethis::ui_*()
messaging with cli::cli_*()
(#94)tidy_add_term_labels()
for variables with non standard names (#77)rmarkdown
(#95)var_type
returned by tidy_identify_variables()
is now equal to "dichotomous"
for categorical variables with only 2 levelstidy_identify_variables()
now populates variable
column by term
content, instead of NA
(#66)tidy_identify_variables()
, the variable
column is now populated with the content of the term
column (#63).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.all_continuous()
, all_categorical()
, all_dichotomous()
, all_contrasts()
, all_intercepts()
and all_interaction()
for selecting variables from models (#54)tidy_fun=
(#49 @ddsjoberg)tidy_select_variables()
to keep/drop selected variables in the output (#45)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
no_reference_row
argument for tidy_add_reference_rows()
(#47)model_get_nlevels
to get the number of levels of categorical variablesvar_nlevels
returned by tidy_identify_variables()
, model_identify_variables()
and tidy_plus_plus()
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
columnexponentiate
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 modelstidy_*
functions also inherits of "broom.helpers"
class (#56)interaction_sep
argument has been added to tidy_plus_plus()
.clean_backticks()
and .escape_regex()
are now exportedtidy_add_header_rows()
for nnet::multinom
models: label for header rows was missing (#50)tidy_identify_variables()
correctly identify class “integer” for this type of variables (#57)tidy_add_header_rows()
for continuous variables with a non standard name (#70)These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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