Fixes
- variable labels are now returned by
model_list_variables()
forsvycoxph
models (#275)
Deprecated functions and changes in selectors functions
- selectors such as
all_categorical()
are now compatible withgtsummary
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 considercards::process_selectors()
andcards::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 tosurvival::coxph()
(#268)
Documentation
- Documentation has been improved, showing now clearly the type expected for each argument (#272)
New features
- new argument
model_matrix_attr
intidy_and_attach()
andtidy_plus_plus()
to attach model frame and model matrix to the model as attributes for saving some execution time (#254) tidy_add_n()
now returnsn_ind
the number of individuals, in addition to the number of observations (#251)- by default,
tidy_parameters()
calls nowparameters::model_parameters()
withpretty_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 asbiglmm
has been removed from CRAN
Deprecated functions
tidy_marginal_means()
is now deprecated, following deprecation ofmarginaleffects::marginal_means()
. Use insteadtidy_marginal_predictions()
with the optionnewdata = "marginalmeans"
.tidy_margins()
is now indicated as superseded and may be deprecated ifmargins
is removed from CRAN.tidy_avg_slopes()
could be used as an alternative. (#252)
Fixes
tidy_multgee()
has been fixed to properly identify the differenty.levels
(#260 @jackmwolf)tidy_marginal_predictions()
has been updated to avoid the use of the deprecated functionmarginaleffects::datagridcf()
(#256)
New supported models
- support for
mmrm::mmrm()
models (#228) - support for
survival::cch()
models (#242)
New features
- new
tidy_post_fun
argument intidy_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)
New features
- support for
MASS::contr.sdif()
contrasts (#230) - support for
pscl::zeroinfl()
andpscl::hurdle()
models (#232) - support for
betareg::betareg()
models (#234)
Fix
- input of
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)- Marginal tidiers are now compatible with
nnet::multinom()
,MASS::polr()
,ordinal::clm()
andordinal::clmm()
models, as long as the type of models is supported by the corresponding package, for example,margins
does not currently supportnnet::multinom()
models (#215)
Improvements
- Marginal predictions vignette has been updated to follow changes in
marginaleffects
version 0.10.0 (#216)
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()
, andtidy_ggpredict()
- Marginal Means:
tidy_marginal_means()
- Marginal Contrasts:
tidy_avg_comparisons()
andtidy_marginal_contrasts()
- Marginal Effects:
tidy_avg_slopes()
andtidy_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
intidy_plus_plus()
,tidy_add_pairwise_contrasts()
andmodel_get_pairwise_contrasts()
allowing to change the adjustment method used to compute pairwise contrasts (#204)
New features
- New functions
tidy_add_pairwise_contrasts()
andmodel_get_pairwise_contrasts()
to compute pairwise contrasts of categorical variables withemmeans
, and corresponding new arguments intidy_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)
New features
tidy_select_variables()
now sorts the variables according toinclude
(#183)
New supported models
- Support for
logitr::logitr()
models (#179) - Experimental support for
multgee::nomLORgee()
andmultgee::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)
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)
New supported models
- Support for
parsnip::model_fit
objects (#161) - Support for
biglm::bigglm()
andbiglmm::bigglm()
models (#155) - Support for
fixest::feglm()
,fixest::femlm()
,fixest::feols()
andfixest::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 forvars()
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
- The
.assert_package()
now usesrlang::check_installed()
andrlang::is_installed()
to check whether needed packages are installed. Therlang::check_installed()
prompts user to install needed package when run interactively. (#147) tidy_add_n()
andmodel_get_n()
support fortidycmprsk::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 amgcv::gam()
model with smooth terms (#150)
New supported models
- Support for
plm::plm()
models (#140)
New features
- The
.formula_list_to_named_list()
now respects theselect_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 withtype_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()
andall_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)
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 runninggtsummary::tbl_regression()
where some users may not be aware where thetidy_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)
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 indicateeverything() ~ <value>
- The passed list may now be a combination of named lists and lists of
formulas, e.g.
Bug fixes
- Bug fix for computing n for some binomial models computed
with
lme4::glmer()
(#116) - Populating effect column when adding reference rows (#117)
New supported models
- Support of
rstanarm::stan_glm()
models - Basic support for
VGAM::vglm()
models (#105)
New features
- Custom tieder
tidy_parameters()
based onparameters::model_parameters()
(#104) - Custom tieder
tidy_with_broom_or_parameters()
(#104) - By default,
tidy_plus_plus()
now usestidy_with_broom_or_parameters()
model_get_coefficients_type()
now returns "prop_hazard" for cloglog-binomial models (#106)
Bug fixes
- Better identification of term labels for interaction terms using sum contrasts (#108)
- Now
tidy_add_n()
works with multinomial models wheny
is not coded as a factor (#109) glue
added to Suggests
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 fortidy_plus_plus()
:disambiguate_terms
(TRUE
by default) anddisambiguate_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 theeffect
column returned bybroom.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
intidy_plus_plus()
(#64) - New functions
model_get_n()
,model_get_weights()
,model_get_offset()
,model_get_response()
andmodel_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 fromtidy_identify_variables()
(#99) - Replaced
usethis::ui_*()
messaging withcli::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)
- Minor breaking change: column
var_type
returned bytidy_identify_variables()
is now equal to"dichotomous"
for categorical variables with only 2 levels - Minor breaking changes: for intercepts terms,
tidy_identify_variables()
now populatesvariable
column byterm
content, instead ofNA
(#66) - Minor breaking change: If the variables can't be identified by
tidy_identify_variables()
, thevariable
column is now populated with the content of theterm
column (#63) - Exporting select helper utility functions (#65)
.generic_selector()
: makes it easy to create selecting functions likeall_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()
andall_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()
andmodel_get_coefficients_type
to get the type of coefficients (generic, logistic, Poisson or proportional hazard) used by a model (#46) tidy_add_contrasts()
andmodel_list_contrasts()
now return an additional columncontrasts_type
- New
no_reference_row
argument fortidy_add_reference_rows()
(#47) - New method
model_get_nlevels
to get the number of levels of categorical variables - New column
var_nlevels
returned bytidy_identify_variables()
,model_identify_variables()
andtidy_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()
andcategorical_terms_pattern
intidy_plus_plus()
andtidy_add_term_labels
(#61) model_list_terms_levels()
now returns additional columns (level
,reference_level
,contrasts_type
,var_label
,var_levels
anddichotomous
)model_list_variables()
now returns an additionalvar_label
column- The
exponentiate
argument is now passed to thetidy_*()
functions, as an attribute attached to the tibble, as well as custom labels (variable_labels
andterm_labels
) show_single_row
argument now accepts tidyselect notation (#51 @ddsjoberg)tidy_add_estimate_to_reference_rows()
now relies onemmeans
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 totidy_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()
fornnet::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)
- Initial version