% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/multifit.R
\name{extract_predictor_effects}
\alias{extract_predictor_effects}
\title{Extract predictor effects from a fitted model}
\usage{
extract_predictor_effects(
  model,
  predictor,
  outcome,
  conf_level = 0.95,
  adjusted = FALSE,
  terms_to_extract = NULL,
  conf_method = NULL
)
}
\arguments{
\item{model}{Fitted model object.}

\item{predictor}{Character string of the predictor variable name.}

\item{outcome}{Character string of the outcome variable name.}

\item{conf_level}{Numeric confidence level.}

\item{adjusted}{Logical indicating if this is an adjusted model.}

\item{terms_to_extract}{Character vector of terms to extract (predictor and 
optionally interaction terms involving the predictor).}
}
\value{
data.table with predictor effect information.
}
\description{
Internal helper function that extracts only the predictor variable's 
coefficient(s) from a fitted model, ignoring intercept and covariates.
Supports standard models (glm, lm, coxph) and mixed effects models
(glmer, lmer, coxme).
}
\keyword{internal}
