density_t: Multivariate Student-t probability density function

In fditraglia/zoofactr:

Description

Multivariate Student-t probability density function

Usage

density_t(x, nu, mu, Sigma_inv, logret = FALSE)

Arguments

x	A numeric matrix, each column of which is a point at which the density is to be evaluated.
nu	A positive integer, the degrees of freedom of the distribution.
mu	A numeric vector, the location parameter of the distribution.
Sigma_inv	A numeric matrix, the inverse of the scale matrix the of the variance-covariance matrix) of the distribution.
logret,	a logical value indicating whether to return the log density. Defaults to FALSE.

Value

A column vector whose jth element is the density of a multivariate Student-t with the specified parameters evaluated at the jth column of x. If logret is true, the natural logarithm of the density is returned.

Examples

M <- matrix(c(1, 0.5, 0.5, 1), 2, 2)
m <- c(0, 0)
df <- 20
density_t(cbind(c(0, 0), c(2, 2)), df, m, solve(M))
density_t(cbind(c(0, 0), c(2, 2)), df, m, solve(M), TRUE)

fditraglia/zoofactr documentation built on May 16, 2019, 12:12 p.m.