Summarise estimated marginal means and contrasts — summarise_gazepoint

Create manuscript-ready estimated marginal means and pairwise contrast tables from fitted models used in gp3tools workflows.

Usage

summarise_gazepoint_emmeans(
  model,
  specs,
  by = NULL,
  model_name = NULL,
  type = "response",
  contrast_method = "pairwise",
  adjust = "tukey",
  conf_level = 0.95,
  include_contrasts = TRUE
)

Arguments

model: A fitted model object, or a gp3tools fit object containing a $model element.
specs: Character vector or formula passed to emmeans::emmeans().
by: Optional character vector of grouping variables passed to emmeans::emmeans().
model_name: Optional model label used in returned tables.
type: Scale passed to emmeans summaries. Common values are "link" and "response".
contrast_method: Contrast method passed to emmeans::contrast().
adjust: Multiplicity adjustment for contrasts.
conf_level: Confidence level.
include_contrasts: Logical. If TRUE, compute contrasts.

Value

A list with overview, emmeans, contrasts, and settings. The returned object has class gp3_emmeans_summary.

Details

The function uses the optional emmeans package. If emmeans is not installed, the function returns structured skipped tables rather than failing. This keeps emmeans as an optional suggested dependency.