Summarize a guarded linear model — summary.honest

This method keeps the familiar shape of summary.lm() but treats coefficient p-values cautiously. The default p_values = "honest" shows p-values for continuous predictors and two-level categorical predictors, but hides intercept p-values and multi-level categorical contrast p-values with NA. Notes explain what was hidden.

Usage

# S3 method for class 'honest_lm'
summary(
  object,
  ...,
  conf.level = 0.95,
  p_values = NULL,
  intercept_p_value = FALSE
)

Arguments

object: An honest_lm object.
...: Unused.
conf.level: Confidence level used for stored confidence intervals.
p_values: Optional p-value policy. See honest_lm().
intercept_p_value: Logical. Set to TRUE to show the intercept p-value when coefficient p-values are shown.

Value

A summary_honest_lm object.