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MixtureInf (version 1.1)

Inference for Finite Mixture Models

Description

Functions for computing the penalized maximum likelihood estimate (PMLE) or maximum likelihood estimate (MLE), testing the order of a finite mixture model using EM-test, drawing histogram of observations and the fitted density or probability mass function of the mixture model.

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Version

Install

install.packages('MixtureInf')

Monthly Downloads

20

Version

1.1

License

AGPL (>= 3)

Maintainer

Davor Cubranic

Last Published

April 6th, 2016

Functions in MixtureInf (1.1)

SLC (sodium-lithium countertransport)

residual diagnostics for mixture models

Histogram of the observations and the fitted probability mass function of a mixture of Poissons

test the order of a mixture of Poissons

generate a random sample from a mixture of normals

compute the PMLE or MLE of the parameters under a mixture of normals with equal and known variance

successive failure times

compute the PMLE or MLE of the parameters under a mixture of binomials

generate a random sample from a mixture of binomials

compute the PMLE or MLE of the parameters under a mixture of normals with unequal variance

generate a random sample from a mixture of Possions

compute the PMLE or MLE of the parameters under a mixture of Possions

Histogram of the observations and the fitted density of a mixture of exponentials

compute the PMLE or MLE of the parameters under a mixture of exponentials

generate a random sample from a mixture of exponentials

test the order of a mixture of normals with unequal variance

Histogram of the observations and the fitted probability mass function of a mixture of binomials

test the order of a mixture of normals with equal and known variance

residual diagnostics for mixture models

Histogram of the observations and the fitted density of a mixture of normals with unequal variance

test the order of a mixture of binomials

number of earthquakes

Pearson's crab data

test the order of a mixture of exponentials

age of onset of schizophrenia

Histogram of the observations and the fitted density of a mixture of normals with equal and known variance