gaussmixt: Mixture of Gaussians

In condmixt: Conditional Density Estimation with Neural Network Conditional Mixtures

Description

Density and distribution function for a mixture of Gaussians with m components.

Usage

dgaussmixt(params, x, log = FALSE, trunc = TRUE)
pgaussmixt(params, x, trunc = TRUE)

Arguments

params	matrix of mixture parameters of dimension 3 x m, where m is the number of components, so that each column contains the mixture parameters (pi, mu, sigma) related to one component
x	vector of sample data
log	logical, if TRUE, probabilities p are given as log(p).
trunc	logical, if TRUE (default), the Gaussian density is truncated below zero.

Value

dgaussmixt gives the density and pgaussmixt gives the distribution function

Author(s)

Julie Carreau

See Also

Normal

condmixt documentation built on July 1, 2020, 6:04 p.m.