% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/resi_asymptotic.R
\name{resi_pe_asymptotic}
\alias{resi_pe_asymptotic}
\title{Robust Effect Size Index with Asymptotic Confidence Intervals}
\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{
\item{model.full}{Fitted \code{lm} or \code{glm} model object.}

\item{data}{Data frame of model data.}

\item{vcovfunc}{Variance estimator for RESI point estimates. Default:
\code{sandwich::vcovHC}.}

\item{coefficients}{Logical; include coefficient table. Default \code{TRUE}.}

\item{anova}{Logical; include anova table. Default \code{TRUE}.}

\item{alpha}{Numeric; significance level. Default \code{0.05}.}

\item{ci.method}{Character; \code{"qf"} (quadratic-form Imhof, default),
\code{"normal"} (truncated normal),
or \code{"cf"} (Cornish-Fisher test inversion).}

\item{type}{Character; HC type for the sandwich variance used in CI
construction (controls tau_i weights in SigmaXw). Default \code{"HC3"}.
Supported: \code{"HC0"}–\code{"HC5"}, \code{"const"}.}

\item{unbiased}{Logical; use bias-corrected RESI point estimate. Default
\code{TRUE}.}

\item{Anova.args}{List; additional arguments passed to \code{car::Anova}.}

\item{vcov.args}{List; additional arguments passed to \code{vcovfunc}.}

\item{...}{Ignored.}
}
\value{
A list of class \code{"resi"} with \code{coefficients} and/or
  \code{anova} tables containing RESI point estimates and CIs.
}
\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.
}
