% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/AddiVortesFit.R
\name{traceplots.AddiVortes}
\alias{traceplots.AddiVortes}
\title{Trace Plot Diagnostics for AddiVortes}
\usage{
\method{traceplots}{AddiVortes}(x, ask = FALSE, ...)
}
\arguments{
\item{x}{An object of class \code{AddiVortes}, typically the result of a
call to \code{AddiVortes()}.}

\item{ask}{Logical; if TRUE, the user is asked to press Enter before each plot.}

\item{...}{Additional arguments passed to plotting functions.}
}
\value{
This function is called for its side effect of creating plots and returns
\code{NULL} invisibly.
}
\description{
Displays four MCMC trace plots for a fitted \code{AddiVortes} object:
the average number of centres per tessellation, the standard deviation
of the number of centres per tessellation, the average number of dimensions
used per tessellation, and the retained-state log-likelihood component whose
differences form the likelihood part of the acceptance ratio.
}
\details{
The four trace plots are:
\enumerate{
\item \strong{Average Centres}: Average number of centres per tessellation.
\item \strong{Centre Count Standard Deviation}: Standard deviation of the
number of centres per tessellation.
\item \strong{Average Dimensions}: Average number of active dimensions used
per tessellation.
\item \strong{Log Likelihood}: Average retained-state log-likelihood
component at the end of each MCMC iteration.
}
}
\examples{
\dontrun{
# Assuming 'fit' is a trained AddiVortes object
traceplots(fit)
}
}
