mahal: Mahalanobis Distance

In manschmi/blmr: Bayesian Linear Regression

Description

Returns the Mahalanobis distance of a data point to a multivariate normal distribution object of class mvnd.

Usage

mahal(object, x)

Arguments

object	an object of class mvnd.
x	a data point, provided as vector with same length as dimensions of the mvnd object.

Details

Calls the base mahalanobis function mahalanobis(x, object$means, object$covar)

Examples

d <- mvnd(c(0,1),matrix(c(2,3,3,2),ncol=2), c('a', 'b'))
mahal(d, c(1,1))
mahal(d, c(0,2))

manschmi/blmr documentation built on May 21, 2019, 11:25 a.m.