From cb3fc8d7a4ec955025aa6b9f1724aff078f8fa79 Mon Sep 17 00:00:00 2001
From: Pierre Santagostini <pierre.santagostini@agrocampus-ouest.fr>
Date: Fri, 5 Jul 2024 16:06:40 +0200
Subject: [PATCH] Link to function mvrnorm() from package MASS
---
R/rmcd.R | 2 +-
man/rmcd.Rd | 2 +-
2 files changed, 2 insertions(+), 2 deletions(-)
diff --git a/R/rmcd.R b/R/rmcd.R
index cf2c1e9..debe7d7 100644
--- a/R/rmcd.R
+++ b/R/rmcd.R
@@ -17,7 +17,7 @@ rmcd <- function(n, mu, Sigma, tol = 1e-6) {
#' can be generated using:
#' \deqn{\displaystyle{\mathbf{X} = \boldsymbol{\mu} + \frac{\mathbf{Y}}{\sqrt{u}}}}
#' where \eqn{\mathbf{Y}} is a random vector distributed among a centered Gaussian density
- #' with covariance matrix \eqn{\Sigma} (generated using \code{\link{mvrnorm}})
+ #' with covariance matrix \eqn{\Sigma} (generated using \code{\link[MASS]{mvrnorm}})
#' and \eqn{u} is distributed among a Chi-squared distribution with 1 degree of freedom.
#'
#' @author Pierre Santagostini, Nizar Bouhlel
diff --git a/man/rmcd.Rd b/man/rmcd.Rd
index 70bc378..048241b 100644
--- a/man/rmcd.Rd
+++ b/man/rmcd.Rd
@@ -27,7 +27,7 @@ A sample from a MCD with parameters \eqn{\boldsymbol{\mu}} and \eqn{\Sigma}
can be generated using:
\deqn{\displaystyle{\mathbf{X} = \boldsymbol{\mu} + \frac{\mathbf{Y}}{\sqrt{u}}}}
where \eqn{\mathbf{Y}} is a random vector distributed among a centered Gaussian density
-with covariance matrix \eqn{\Sigma} (generated using \code{\link{mvrnorm}})
+with covariance matrix \eqn{\Sigma} (generated using \code{\link[MASS]{mvrnorm}})
and \eqn{u} is distributed among a Chi-squared distribution with 1 degree of freedom.
}
\examples{
--
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