Nothing
rMVNorm <-
function (n, mean = rep(0, nrow(sigma)), sigma = diag(length(mean)), method = c("eigen", "svd", "chol"))
{
if (!isSymmetric(sigma, tol = sqrt(.Machine$double.eps))) {
stop("sigma must be a symmetric matrix")
}
if (length(mean) != nrow(sigma)) {
stop("mean and sigma have non-conforming size")
}
sigma1 <- sigma
dimnames(sigma1) <- NULL
if (!isTRUE(all.equal(sigma1, t(sigma1)))) {
warning("sigma is numerically not symmetric")
}
method <- match.arg(method)
if (method == "eigen") {
ev <- eigen(sigma, symmetric = TRUE)
if (!all(ev$values >= -sqrt(.Machine$double.eps) * abs(ev$values[1]))) {
warning("sigma is numerically not positive definite")
}
retval <- ev$vectors %*% diag(sqrt(ev$values), length(ev$values)) %*%
t(ev$vectors)
}
else if (method == "svd") {
sigsvd <- svd(sigma)
if (!all(sigsvd$d >= -sqrt(.Machine$double.eps) * abs(sigsvd$d[1]))) {
warning("sigma is numerically not positive definite")
}
retval <- t(sigsvd$v %*% (t(sigsvd$u) * sqrt(sigsvd$d)))
}
else if (method == "chol") {
retval <- chol(sigma, pivot = TRUE)
o <- order(attr(retval, "pivot"))
retval <- retval[, o]
}
retval <- matrix(rnorm(n * ncol(sigma)), nrow = n) %*% retval
retval <- sweep(retval, 2, mean, "+")
retval
}
dMVNorm <-
function (x, mean, sigma, log = FALSE)
{
if (is.vector(x)) {
x <- matrix(x, ncol = length(x))
}
if (missing(mean)) {
mean <- rep(0, length = ncol(x))
}
if (missing(sigma)) {
sigma <- diag(ncol(x))
}
if (NCOL(x) != NCOL(sigma)) {
stop("x and sigma have non-conforming size")
}
if (!isSymmetric(sigma, tol = sqrt(.Machine$double.eps))) {
stop("sigma must be a symmetric matrix")
}
if (length(mean) != NROW(sigma)) {
stop("mean and sigma have non-conforming size")
}
logdet = determinant (sigma, logarithm=TRUE)$modulus
distval <- mahalanobis(x, center = mean, cov = sigma)
logretval <- -(ncol(x) * log(2 * pi) + logdet + distval)/2
# cat (logdet, ",", logretval, "\n")
if (log)
return(logretval)
exp(logretval)
}
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