dr1_norm: Multivariate normal density at mean 0 and a covariance that...

In dcgerard/UltimateDeconvolution: Deconvolution Problem in Multivariate Gaussian Mixtures

Description

Multivariate normal density at mean 0 and a covariance that is the sum of a rank-1 matrix and a diagonal matrix.

Usage

dr1_norm(x, v, s_diag, mu = rep(0, length(x)), log = FALSE)

Arguments

x	The data.
v	The square-root of the rank-1 matrix.
s_diag	The diagonal elements of the diagonal component of the covariance matrix.
mu	The mean. Defaults to 0.
log	A logical. Should we return the log-density (TRUE) or the density (FALSE)?

Author(s)

David Gerard

dcgerard/UltimateDeconvolution documentation built on May 15, 2019, 1:24 a.m.