% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/mmm.R
\name{print.net_mmm}
\alias{print.net_mmm}
\title{Print Method for net_mmm}
\usage{
\method{print}{net_mmm}(x, digits = 3L, ...)
}
\arguments{
\item{x}{A \code{net_mmm} object.}

\item{digits}{Integer. Decimal places for floating-point statistics.
Default \code{3}. Non-breaking: \code{print(x)} keeps the same
alignment as before.}

\item{...}{Unsupported. Supplying unused arguments raises an error.}
}
\value{
The input object, invisibly.
}
\description{
Compact summary of a Mixed Markov Model fit. Header carries dimensions
and information criteria; cluster table carries N, mixing share, and
per-cluster average posterior probability (AvePP). Layout matches
\code{\link{print.net_clustering}} so distance- and model-based
clusterings can be compared at a glance.
}
\examples{
seqs <- data.frame(V1 = sample(c("A","B","C"), 30, TRUE),
                   V2 = sample(c("A","B","C"), 30, TRUE))
mmm <- build_mmm(seqs, k = 2, n_starts = 1, max_iter = 10, seed = 1)
print(mmm)
\donttest{
set.seed(1)
seqs <- data.frame(
  V1 = sample(c("A","B","C"), 30, TRUE),
  V2 = sample(c("A","B","C"), 30, TRUE),
  V3 = sample(c("A","B","C"), 30, TRUE)
)
mmm <- build_mmm(seqs, k = 2, n_starts = 5, seed = 1)
print(mmm)
}

}
