% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/utils-calc.R
\name{icc_tool_point}
\alias{icc_tool_point}
\title{Calculate ICC Point Estimate}
\usage{
icc_tool_point(anova_result, icc_type)
}
\arguments{
\item{anova_result}{List. Output from \code{icc_calc_anova} containing ANOVA statistics.}

\item{icc_type}{Character. ICC type code, must be one of:
"1,1", "1,k", "2,1", "2,k", "3,1", "3,k",
"2,1,consistency", "2,k,consistency", "3,1,absolute", "3,k,absolute"}
}
\value{
Numeric. Point estimate of the intraclass correlation coefficient.
}
\description{
Unified low-level function to compute point estimates for all 10 ICC types
based on the standard formulas from McGraw & Wong (1996) Table 4 and 5.
Serves as the single source of truth for ICC point calculations.
}
\references{
McGraw, K. O., & Wong, S. P. (1996). Forming inferences about some
intraclass correlation coefficients. Psychological Methods, 1(1), 30-46.
}
\keyword{internal}
