% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/sccOneGroup.R
\docType{data}
\name{sccOneGroup}
\alias{sccOneGroup}
\title{Example SCC object for one-group analysis}
\format{
A list with 14 components, including:
\describe{
  \item{\code{Yhat}}{Estimated mean function.}
  \item{\code{scc}}{Simultaneous confidence corridor bands.}
  \item{\code{bw}}{Bandwidth values.}
  \item{\code{Ya}}{Observed one-group imaging data.}
  \item{\code{V.est.a}}{Triangulation vertices for estimation.}
  \item{\code{Tr.est.a}}{Triangulation triangles for estimation.}
  \item{\code{Z}}{Spatial coordinates of the imaging domain.}
  \item{\code{Z.band}}{Spatial coordinates used for SCC band computation.}
  \item{\code{d.est}}{Estimation neighborhood parameter.}
  \item{\code{r}}{Radius or smoothing-related SCC parameter.}
  \item{\code{ind.inside}}{Indices of points inside the domain.}
  \item{\code{ind.inside.cover}}{Indices of covered points inside the domain.}
  \item{\code{alpha}}{Significance levels.}
  \item{\code{call}}{Call used to generate the SCC object.}
}
}
\source{
Generated from the neuroSCC methodological workflow for one-group SCC analysis.
}
\usage{
sccOneGroup
}
\description{
A single-group Simultaneous Confidence Corridor (SCC) result object
used in examples and visualization functions of \pkg{neuroSCC}.
}
\details{
The object contains the estimated mean function, SCC bands, spatial
coordinates, and triangulation-related components needed for
plotting and downstream SCC workflows.
}
\seealso{
\code{\link{plotSCCpanel}} for visualization of this object. \cr
\code{\link{SCCcomp}} for a two-group SCC example object.
}
\keyword{datasets}
