dmvnorm

rmvnorm

Vector or matrix of quantiles. If <code>x</code> is a matrix, each
   row is taken to be a quantile.

Mean vector, default is <code>rep(0, length = ncol(x))</code>.

Covariance matrix, default is <code>diag(ncol(x))</code>.

sigma

These functions provide information about the multivariate normal
  distribution with 
  mean equal to <code>mu</code> and covariance matrix <code>sigma</code>.
  <code>dmvnorm</code> gives the density and <code>rmvnorm</code>
  generates random deviates.
[object Object]
<seealso><a href="/link/Normal?package=e1071&version=1.1-2" rd-options="" data-mini-rdoc="e1071::Normal">Normal</a></seealso>
<examples>dmvnorm(x=c(0,0))
dmvnorm(x=c(0,0), mu=c(1,1))
x &lt;- rmvnorm(n=100, mu=c(1,1))
plot(x)</examples>
<keyword>distribution</keyword>
<keyword>multivariate</keyword>

Mvnorm

Functions for latent class analysis, reading/writing of
	images in pnm format, short time Fourier transform, fuzzy
	clustering, support vector machines, shortest path computation, ...

Mvnorm: The Multivariate Normal Distribution

Description

Usage

Arguments