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