mvdggd renamed into dmggd

man/contourmvggd.Rd → man/contourmggd.Rd

 % Generated by roxygen2: do not edit by hand
 % Please edit documentation in R/contourmvggd.R
-\name{contourmvggd}
-\alias{contourmvggd}
+\name{contourmggd}
+\alias{contourmggd}
 \title{Contour Plot of the Bivariate Generalised Gaussian Density}
 \usage{
-contourmvggd(mu, Sigma, beta,
+contourmggd(mu, Sigma, beta,
                     xlim = c(mu[1] + c(-10, 10)*Sigma[1, 1]),
                     ylim = c(mu[2] + c(-10, 10)*Sigma[2, 2]),
                     zlim = NULL, npt = 30, nx = npt, ny = npt,
@@ -31,7 +31,7 @@ contourmvggd(mu, Sigma, beta,
 
 \item{nlevels, levels}{arguments to be passed to the \code{\link{contour}} function.}
 
-\item{tol}{tolerance (relative to largest variance) for numerical lack of positive-definiteness in Sigma, for the estimation of the density. see \code{\link{mvdggd}}.}
+\item{tol}{tolerance (relative to largest variance) for numerical lack of positive-definiteness in Sigma, for the estimation of the density. see \code{\link{dmggd}}.}
 
 \item{...}{additional arguments to \code{\link{plot.window}}, \code{\link{title}}, \code{\link{Axis}} and \code{\link{box}}, typically \link{graphical parameters} such as \code{cex.axis}.}
 }
@@ -46,7 +46,7 @@ with mean vector \code{mu}, dispersion matrix \code{Sigma} and shape parameter \
 mu <- c(1, 4)
 Sigma <- matrix(c(0.8, 0.2, 0.2, 0.2), nrow = 2)
 beta <- 0.74
-contourmvggd(mu, Sigma, beta)
+contourmggd(mu, Sigma, beta)
 
 }
 \references{
@@ -55,9 +55,9 @@ Commun. Statist. 1998, Theory Methods, col. 27, no. 23, p 589-600.
 \doi{10.1080/03610929808832115}
 }
 \seealso{
-\code{\link{plotmvggd}}: plot of a bivariate generalised Gaussian density.
+\code{\link{plotmggd}}: plot of a bivariate generalised Gaussian density.
 
-\code{\link{mvdggd}}: Probability density of a multivariate generalised Gaussian distribution.
+\code{\link{dmggd}}: Probability density of a multivariate generalised Gaussian distribution.
 }
 \author{
 Pierre Santagostini, Nizar Bouhlel

man/estparmvggd.Rd → man/estparmggd.Rd

 % Generated by roxygen2: do not edit by hand
 % Please edit documentation in R/estparmvggd.R
-\name{estparmvggd}
-\alias{estparmvggd}
+\name{estparmggd}
+\alias{estparmggd}
 \title{Estimation of the Parameters of a Multivariate Generalized Gaussian Distribution}
 \usage{
-estparmvggd(x, eps = 1e-6, display = FALSE, plot = display)
+estparmggd(x, eps = 1e-6, display = FALSE, plot = display)
 }
 \arguments{
 \item{x}{numeric matrix or data frame.}
@@ -39,10 +39,10 @@ The precision for the estimation of \code{beta} is given by the \code{eps} param
 mu <- c(0, 1, 4)
 Sigma <- matrix(c(0.8, 0.3, 0.2, 0.3, 0.2, 0.1, 0.2, 0.1, 0.2), nrow = 3)
 beta <- 0.74
-x <- mvrggd(100, mu, Sigma, beta)
+x <- rmggd(100, mu, Sigma, beta)
 
 # Estimation of the parameters
-estparmvggd(x)
+estparmggd(x)
 
 }
 \references{
@@ -51,9 +51,9 @@ IEEE Trans. Signal Processing, vol. 61 no. 23, p. 5960-5971, Dec. 2013.
 \doi{DOI: 10.1109/TSP.2013.2282909}
 }
 \seealso{
-\code{\link{mvdggd}}: probability density of a MGGD.
+\code{\link{dmggd}}: probability density of a MGGD.
 
-\code{\link{mvrggd}}: random generation from a MGGD.
+\code{\link{rmggd}}: random generation from a MGGD.
 }
 \author{
 Pierre Santagostini, Nizar Bouhlel

man/kldggd.Rd

@@ -74,7 +74,7 @@ IEEE Signal Processing Letters, vol. 26 no. 7, July 2019.
 \doi{10.1109/LSP.2019.2915000}
 }
 \seealso{
-\link{mvdggd}: probability density of a MGGD.
+\link{dmggd}: probability density of a MGGD.
 }
 \author{
 Pierre Santagostini, Nizar Bouhlel