https://github.com/cran/BDgraph
Tip revision: 72b95efce3f7c808386f6e86b3789d004a213bf5 authored by Reza Mohammadi on 25 December 2022, 06:20:14 UTC
version 2.72
version 2.72
Tip revision: 72b95ef
print.sim.Rd
\name{print.sim}
\alias{print.sim}
\title{ Print function for \code{S3} class "\code{sim}" }
\description{ Prints the information about the type of data, the sample size, the graph type, the number of nodes, number of links and sparsity of the true graph. }
\usage{ \method{print}{sim}( x, ... ) }
\arguments{
\item{x}{ object of \code{S3} class "\code{sim}", from function \code{\link{bdgraph.sim}}. }
\item{\dots}{ system reserved (no specific usage). }
}
\references{
Mohammadi, R. and Wit, E. C. (2019). \pkg{BDgraph}: An \code{R} Package for Bayesian Structure Learning in Graphical Models, \emph{Journal of Statistical Software}, 89(3):1-30, \doi{10.18637/jss.v089.i03}
}
\author{ Reza Mohammadi \email{a.mohammadi@uva.nl} and Ernst Wit }
\seealso{ \code{\link{graph.sim}}, \code{\link{bdgraph.sim}} }
\examples{
# Generating multivariate normal data from a 'random' graph
data.sim <- bdgraph.sim( n = 20, p = 10, vis = TRUE )
print( data.sim )
}
\keyword{print}