% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/scf_model_methods.R
\name{scf_model_result_methods}
\alias{scf_model_result_methods}
\alias{coef.scf_model_result}
\alias{vcov.scf_model_result}
\alias{AIC.scf_model_result}
\alias{residuals.scf_model_result}
\alias{predict.scf_model_result}
\alias{formula.scf_model_result}
\title{S3 Methods for scf_model_result Objects}
\usage{
\method{formula}{scf_model_result}(x, ...)

\method{residuals}{scf_model_result}(object, ...)

\method{coef}{scf_model_result}(object, ...)

\method{vcov}{scf_model_result}(object, ...)

\method{AIC}{scf_model_result}(object, k = 2, ...)

\method{predict}{scf_model_result}(object, newdata, type = "link", ...)
}
\arguments{
\item{x}{An object of class \code{"scf_model_result"} (for \code{formula}).}

\item{...}{Additional arguments (not used by most methods).}

\item{object}{An object of class \code{"scf_model_result"}.}

\item{k}{Penalty term passed to \code{AIC()} (default 2 for AIC, \code{log(n)} for BIC).}

\item{newdata}{Optional data frame of new observations for \code{predict()}.
If missing, predictions are made on the original training data.}

\item{type}{Prediction scale for \code{predict()}: \code{"link"} (default)
or \code{"response"}.}
}
\description{
Generic S3 methods dispatched on objects of class \code{"scf_model_result"},
as returned by \code{\link{scf_ols}}, \code{\link{scf_glm}},
\code{\link{scf_logit}}, and \code{\link{scf_quantreg}}.

\describe{
\item{\code{coef()}}{Pooled coefficient estimates (Rubin's Rules).}
\item{\code{vcov()}}{Pooled variance-covariance matrix.}
\item{\code{AIC()}}{Mean AIC across implicates.}
\item{\code{residuals()}}{Residuals from the first implicate model (diagnostic use only).}
\item{\code{predict()}}{Mean predictions pooled across all five implicate models.}
\item{\code{formula()}}{The model formula.}
}
}
