| mmeln-package {mmeln} | R Documentation |
Estimation of Multinormal Mixture Distribution
Description
Fit multivariate mixture of normal distribution using covariance structure.
Details
The DESCRIPTION file:
| Package: | mmeln |
| Type: | Package |
| Title: | Estimation of Multinormal Mixture Distribution |
| Version: | 1.5 |
| Date: | 2023-09-11 |
| Author: | Charles-Edouard Giguere |
| Maintainer: | Charles-Edouard Giguere <ce.giguere@gmail.com> |
| Description: | Fit multivariate mixture of normal distribution using covariance structure. |
| License: | GPL-3 |
| LazyLoad: | yes |
| Repository: | CRAN |
| Encoding: | UTF-8 |
| NeedsCompilation: | no |
Index of help topics:
dmnorm Multivariate Normal Density Function
estim Maximum Likelihood estimation of the model
parameters
exY A two mixture example
mmeln mmeln : mixture of multivariate normal
mmeln-package Estimation of Multinormal Mixture Distribution
plot.mmeln Utility methods for objects of class mmeln
post.mmeln Posterior probabilities, entropy for mmeln
object
This package allows to fit multivariate normal mixture. Predictors of group membership can also be allowed in the model.
Author(s)
Charles-Edouard Giguere
Maintainer: Charles-Edouard Giguere <ce.giguere@gmail.com>
See Also
mmeln,estim.mmeln,anova.mmeln
Examples
### load an example.
data(exY)
### estimation of the parameters of the mixture.
temps <- factor(1:3)
mmeln1 <- mmeln(Y, G = 2, form.loc = ~temps-1, form.mel = ~1, cov = "CS")
mix1 <- estim(mmeln1, mu = list(rep(1,3), rep(2,3)), tau = c(0),
sigma = list(c(1,.6), c(1,.6)), iterlim = 100,tol = 1e-6)
mix1
anova(mix1)
plot(mix1,main="Mixture of multivariate normal")
[Package mmeln version 1.5 Index]