model_get_pairwise_contrasts: Get pairwise comparison of the levels of a categorical...

In broom.helpers: Helpers for Model Coefficients Tibbles

Get pairwise comparison of the levels of a categorical variable

Description

It is computed with emmeans::emmeans().

Usage

model_get_pairwise_contrasts(
  model,
  variables,
  pairwise_reverse = TRUE,
  contrasts_adjust = NULL,
  conf.level = 0.95,
  emmeans_args = list()
)

Arguments

model	(a model object, e.g. glm) A model object.
variables	(tidy-select) Variables to add pairwise contrasts.
pairwise_reverse	(logical) Determines whether to use "pairwise" (if TRUE) or "revpairwise" (if FALSE), see emmeans::contrast().
contrasts_adjust	optional adjustment method when computing contrasts, see emmeans::contrast() (if NULL, use emmeans default)
conf.level	(numeric) Level of confidence for confidence intervals (default: 95%).
emmeans_args	(logical) List of additional parameter to pass to emmeans::emmeans() when computing pairwise contrasts.

Details

For pscl::zeroinfl() and pscl::hurdle() models, pairwise contrasts are computed separately for each component, using mode = "count" and mode = "zero" (see documentation of emmeans) and a component column is added to the results.

See Also

Other model_helpers: model_compute_terms_contributions(), model_get_assign(), model_get_coefficients_type(), model_get_contrasts(), model_get_model(), model_get_model_frame(), model_get_model_matrix(), model_get_n(), model_get_nlevels(), model_get_offset(), model_get_response(), model_get_response_variable(), model_get_terms(), model_get_weights(), model_get_xlevels(), model_identify_variables(), model_list_contrasts(), model_list_higher_order_variables(), model_list_terms_levels(), model_list_variables()

Examples

  mod <- lm(Sepal.Length ~ Species, data = iris)
  mod |> model_get_pairwise_contrasts(variables = "Species")
  mod |>
    model_get_pairwise_contrasts(
      variables = "Species",
      contrasts_adjust = "none"
    )

broom.helpers documentation built on June 8, 2025, 12:40 p.m.