gauss_kdens_arma {mig}R Documentation

Gaussian kernel density estimator

Description

Given a data matrix over a half-space defined by beta, compute the log density of the asymmetric truncated Gaussian kernel density estimator, taking in turn an observation as location vector.

Usage

gauss_kdens_arma(x, newdata, Sigma, logweights, logd)

Arguments

x

matrix of observations

newdata

matrix of new observations at which to evaluated the kernel density

Sigma

covariance matrix

logd

logical; if TRUE, return the log density

Value

log density estimator


[Package mig version 2.0 Index]