supported_models: Listing of Supported Models

Description

Listing of Supported Models

supported_models

A data frame with one row per supported model

model	notes
`stats::lm()`
`stats::glm()`
`stats::aov()`	Reference rows are not relevant for such models.
`ordinal::clm()`	Limited support for models with nominal predictors.
`ordinal::clmm()`	Limited support for models with nominal predictors.
`survival::coxph()`
`survival::survreg()`
`survival::clogit()`
`lme4::lmer()`	`broom.mixed` package required
`lme4::glmer()`	`broom.mixed` package required
`lme4::glmer.nb()`	`broom.mixed` package required
`brms::brm()`	`broom.mixed` package required
`geepack::geeglm()`
`gam::gam()`
`glmmTMB::glmmTMB()`	`broom.mixed` package required
`mgcv::gam()`	Use default tidier `broom::tidy()` for smooth terms only, or `gtsummary::tidy_gam()` to include parametric terms
`nnet::multinom()`
`survey::svyglm()`
`survey::svycoxph()`
`survey::svyolr()`
`MASS::polr()`
`MASS::glm.nb()`
`mice::mira`	Limited support. If `mod` is a `mira` object, use `tidy_plus_plus(mod, tidy_fun = function(x, ...) mice::pool(x) %>% mice::tidy(...))`
`lavaan::lavaan()`	Limited support for categorical variables
`stats::nls()`	Limited support
`lfe::felm()`
`rstanarm::stan_glm()`	`broom.mixed` package required
`VGAM::vglm()`	Limited support. It is recommended to use `tidy_parameters()` as `tidy_fun`.
`cmprsk::crr()`	Limited support. It is recommended to use `tidycmprsk::crr()` instead.
`tidycmprsk::crr()`
`plm::plm()`