resi_pe_asymptotic: Robust Effect Size Index with Asymptotic Confidence Intervals

Description

Computes RESI point estimates and asymptotic confidence intervals using either a normal approximation (Zhang et al., 2025) or a quadratic-form (Imhof/Davies) approach.

Usage

resi_pe_asymptotic(
  model.full,
  data,
  vcovfunc = sandwich::vcovHC,
  coefficients = TRUE,
  anova = TRUE,
  alpha = 0.05,
  ci.method = c("qf", "normal", "cf"),
  type = "HC3",
  unbiased = TRUE,
  Anova.args = list(),
  vcov.args = list(),
  ...
)

Value

A list of class "resi" with coefficients and/or

anova tables containing RESI point estimates and CIs.

Arguments

model.full: Fitted lm or glm model object.
data: Data frame of model data.
vcovfunc: Variance estimator for RESI point estimates. Default: sandwich::vcovHC.
coefficients: Logical; include coefficient table. Default TRUE.
anova: Logical; include anova table. Default TRUE.
alpha: Numeric; significance level. Default 0.05.
ci.method: Character; "qf" (quadratic-form Imhof, default), "normal" (truncated normal), or "cf" (Cornish-Fisher test inversion).
type: Character; HC type for the sandwich variance used in CI construction (controls tau_i weights in SigmaXw). Default "HC3". Supported: "HC0"–"HC5", "const".
unbiased: Logical; use bias-corrected RESI point estimate. Default TRUE.
Anova.args: List; additional arguments passed to car::Anova.
vcov.args: List; additional arguments passed to vcovfunc.
...: Ignored.