dmvnrm2: Density of multivariate normal distribution
In yehanxuan/tamu-689-final: What the package does (short line)

Description Usage Arguments Value Examples

View source: R/RcppExports.R

Density of multivariate normal distribution

1	dmvnrm2(x, mean, sigma, logd = FALSE)

`x`	vector to compute the density
`mean`	location parameter
`sigma`	scale/variance parameter
`logd`	bool variable. If true, output log density, otherwise output true density

return the density

Y = Readjpeg(train)
K = 5
p = ncol(Y)
mean = matrix(rnorm(K*p), K, p)
sigma = array(rep(diag(p), K), dim = c(p, p, K)) 
z = matrix(0, K, nrow(Y))
for (i in 1:nrow(Y)){
  for(j in 1:nrow(mean)){
z[j,i] = dmvnrm2(Y[i, ], mean[j, ],sigma[, , j], true);
}
}