Correction: mtd (and not mcd)

R/contourmtd.R

@@ -2,13 +2,13 @@ contourmtd <- function(nu, mu, Sigma,
                         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,
-                        main = "Multivariate Cauchy density",
+                        main = "Multivariate t density",
                         sub = NULL, nlevels = 10,
                         levels = pretty(zlim, nlevels),
                         tol = 1e-6, ...) {
-  #' Contour Plot of the Bivariate Cauchy Density
+  #' Contour Plot of the Bivariate \eqn{t} Density
   #'
-  #' Draws the contour plot of the probability density of the multivariate Cauchy distribution with 2 variables
+  #' Draws the contour plot of the probability density of the multivariate \eqn{t} distribution with 2 variables
   #' with location parameter \code{mu} and scatter matrix \code{Sigma}.
   #'
   #' @aliases contourmtd
@@ -17,7 +17,7 @@ contourmtd <- function(nu, mu, Sigma,
   #'                    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,
-  #'                    main = "Multivariate Cauchy density",
+  #'                    main = "Multivariate t density",
   #'                    sub = NULL, nlevels = 10,
   #'                    levels = pretty(zlim, nlevels), tol = 1e-6, ...)
   #' @param nu numeric. The degrees of freedom.
@@ -37,9 +37,9 @@ contourmtd <- function(nu, mu, Sigma,
   #'
   #' @references S. Kotz and Saralees Nadarajah (2004), Multivariate \eqn{t} Distributions and Their Applications, Cambridge University Press.
   #'
-  #' @seealso \code{\link{dmtd}}: probability density of a multivariate Cauchy density
+  #' @seealso \code{\link{dmtd}}: probability density of a multivariate \eqn{t} density
   #'
-  #' \code{\link{plotmtd}}: 3D plot of a bivariate Cauchy density.
+  #' \code{\link{plotmtd}}: 3D plot of a bivariate \eqn{t} density.
   #'
   #' @examples
   #' nu <- 1
@@ -52,7 +52,7 @@ contourmtd <- function(nu, mu, Sigma,
   #' @export
 
   if (length(mu)!=2 | nrow(Sigma)!=2 | ncol(Sigma)!=2)
-    stop(paste("contourmtd only allows plotting a Cauchy density with 2 variables.",
+    stop(paste("contourmtd only allows plotting a t density with 2 variables.",
                "mu must be a length 2 numeric vector and Sigma must be a 2*2 square matrix.", sep = "\n"))
 
   # Estimation of the density

man/plotmtd.Rd

@@ -2,7 +2,7 @@
 % Please edit documentation in R/plotmtd.R
 \name{plotmtd}
 \alias{plotmtd}
-\title{Plot of the Bivariate Cauchy Density}
+\title{Plot of the Bivariate \eqn{t} Density}
 \usage{
 plotmtd(nu, mu, Sigma, xlim = c(mu[1] + c(-10, 10)*Sigma[1, 1]),
                 ylim = c(mu[2] + c(-10, 10)*Sigma[2, 2]), n = 101,
@@ -34,7 +34,7 @@ plotmtd(nu, mu, Sigma, xlim = c(mu[1] + c(-10, 10)*Sigma[1, 1]),
 Returns invisibly the probability density function.
 }
 \description{
-Plots the probability density of the multivariate Cauchy distribution with 2 variables
+Plots the probability density of the multivariate \eqn{t} distribution with 2 variables
 with location parameter \code{mu} and scatter matrix \code{Sigma}.
 }
 \examples{
@@ -48,9 +48,9 @@ plotmtd(nu, mu, Sigma)
 S. Kotz and Saralees Nadarajah (2004), Multivariate \eqn{t} Distributions and Their Applications, Cambridge University Press.
 }
 \seealso{
-\code{\link{dmtd}}: probability density of a multivariate Cauchy density
+\code{\link{dmtd}}: probability density of a multivariate \eqn{t} density
 
-\code{\link{contourmtd}}: contour plot of a bivariate Cauchy density.
+\code{\link{contourmtd}}: contour plot of a bivariate \eqn{t} density.
 
 \code{\link{plot3d.function}}: plot a function of two variables.
 }