% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/calibration-assessment.R
\name{assess_gazepoint_calibration}
\alias{assess_gazepoint_calibration}
\title{Calibration assessment with bootstrap uncertainty}
\usage{
assess_gazepoint_calibration(
  truth,
  probability,
  positive = NULL,
  bins = 10L,
  bootstrap = 200L,
  conf_level = 0.95,
  seed = 1L
)
}
\arguments{
\item{truth}{Observed binary outcome values.}

\item{probability}{Predicted positive-class probabilities.}

\item{positive}{Label representing the positive class.}

\item{bins}{Number of reliability bins.}

\item{bootstrap}{Number of bootstrap replicates.}

\item{conf_level}{Confidence level for percentile intervals.}

\item{seed}{Deterministic random seed.}
}
\value{
A \code{gp3ml_calibration_assessment} object containing calibration summaries, reliability-bin results, bootstrap intervals, and assessment settings.
}
\description{
Calibration assessment with bootstrap uncertainty
}
\examples{
truth <- factor(
  rep(rep(c("pass", "review"), 5), 10),
  levels = c("pass", "review")
)
probability <- rep(
  seq(0.10, 0.90, length.out = 10),
  each = 10
)

assessment <- assess_gazepoint_calibration(
  truth = truth,
  probability = probability,
  positive = "review",
  bins = 5L,
  bootstrap = 10L,
  seed = 101L
)
assessment
}
