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
precision.Rd
\name{precision}
\alias{precision}
\title{ Estimated precision matrix }
\description{
Provides the estimated precision matrix.
}
\usage{ precision( bdgraph.obj, round = 2 ) }
\arguments{
\item{bdgraph.obj}{object of \code{S3} class "\code{bdgraph}", from function \code{\link{bdgraph}}.
It also can be an object of \code{S3} class \code{"ssgraph"}, from the function \code{\link[ssgraph:ssgraph]{ssgraph::ssgraph()}} of \code{R} package \code{\link[ssgraph:ssgraph]{ssgraph::ssgraph()}}.
}
\item{round}{ value for rounding all probabilities to the specified number of decimal places. }
}
\value{ matrix which corresponds the estimated precision matrix.}
\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} }
\seealso{\code{\link{bdgraph}}, \code{\link{covariance}}, \code{\link{plinks}}}
\examples{
\dontrun{
# Generating multivariate normal data from a 'circle' graph
data.sim <- bdgraph.sim( n = 70, p = 6, graph = "circle", vis = TRUE )
bdgraph.obj <- bdgraph( data = data.sim )
precision( bdgraph.obj ) # Estimated precision matrix
data.sim $ K # True precision matrix
}
}
\keyword{parameter learning}