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Robust Effect Size Index with Asymptotic Confidence Intervals

Source: R/resi_asymptotic.R
resi_pe_asymptotic.Rd

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(),
  ...
)

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.

Value

A list of class "resi" with coefficients and/or anova tables containing RESI point estimates and CIs.