| ldmvnorm {sbgcop} | R Documentation | 
Log Multivariate Normal Density
Description
Computes the log of the multivariate normal density
Usage
ldmvnorm(Y, S)
Arguments
Y | 
 an n x p matrix  | 
S | 
 a p x p positive definite matrix  | 
Details
This function computes the log density of the data matrix Y under the
model that the rows are independent samples from a mean-zero multivariate
normal distribution with covariance matrix S.
Value
A real number.
Author(s)
Peter Hoff
Examples
Y<-matrix(rnorm(9*7),9,7) 
ldmvnorm(Y,diag(7))
[Package sbgcop version 0.980 Index]