supported_models {broom.helpers}

Listing of Supported Models

Description

Listing of Supported Models

Usage

supported_models

Format

A data frame with one row per supported model

model

Model

notes

Notes

Supported models

model	notes
betareg::betareg()	Use tidy_parameters() as tidy_fun with component argument to control with coefficients to return. broom::tidy() does not support the exponentiate argument for betareg models, use tidy_parameters() instead.
biglm::bigglm()
biglmm::bigglm()
brms::brm()	broom.mixed package required
cmprsk::crr()	Limited support. It is recommended to use tidycmprsk::crr() instead.
fixest::feglm()	May fail with R <= 4.0.
fixest::femlm()	May fail with R <= 4.0.
fixest::feNmlm()	May fail with R <= 4.0.
fixest::feols()	May fail with R <= 4.0.
gam::gam()
geepack::geeglm()
glmmTMB::glmmTMB()	broom.mixed package required
lavaan::lavaan()	Limited support for categorical variables
lfe::felm()
lme4::glmer.nb()	broom.mixed package required
lme4::glmer()	broom.mixed package required
lme4::lmer()	broom.mixed package required
logitr::logitr()	Requires logitr >= 0.8.0
MASS::glm.nb()
MASS::polr()
mgcv::gam()	Use default tidier broom::tidy() for smooth terms only, or gtsummary::tidy_gam() to include parametric terms
mice::mira	Limited support. If mod is a mira object, use tidy_fun = function(x, ...) {mice::pool(x) %>% mice::tidy(...)}
mmrm::mmrm()
multgee::nomLORgee()	Experimental support. Use tidy_multgee() as tidy_fun.
multgee::ordLORgee()	Experimental support. Use tidy_multgee() as tidy_fun.
nnet::multinom()
ordinal::clm()	Limited support for models with nominal predictors.
ordinal::clmm()	Limited support for models with nominal predictors.
parsnip::model_fit	Supported as long as the type of model and the engine is supported.
plm::plm()
pscl::hurdle()	Use tidy_zeroinfl() as tidy_fun.
pscl::zeroinfl()	Use tidy_zeroinfl() as tidy_fun.
rstanarm::stan_glm()	broom.mixed package required
stats::aov()	Reference rows are not relevant for such models.
stats::glm()
stats::lm()
stats::nls()	Limited support
survey::svycoxph()
survey::svyglm()
survey::svyolr()
survival::cch()	`Experimental support.
survival::clogit()
survival::coxph()
survival::survreg()
tidycmprsk::crr()
VGAM::vglm()	Limited support. It is recommended to use tidy_parameters() as tidy_fun.