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mixlink (version 0.1.5)

Mixture Link Regression

Description

The Mixture Link model is a proposed extension to generalized linear models, where the outcome distribution is a finite mixture of J > 1 densities. This package supports Mixture Link computations for Poisson and Binomial outcomes. This includes the distribution functions, numerical maximum likelihood estimation, Bayesian analysis, and quantile residuals to assess model fit.

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Install

install.packages('mixlink')

Monthly Downloads

3

Version

0.1.5

License

GPL (>= 2)

Maintainer

Andrew Raim

Last Published

July 8th, 2017

Functions in mixlink (0.1.5)

Mixture Link Binomial Distribution

Distribution functions
Mixture Link Poisson Distribution

Distribution functions
S3 methods for gibbs.mixlink output objects

S3 methods for gibbs.mixlink output objects
S3 methods for mle.fit objects

S3 methods for mle.fit objects
DIC

Deviance Information Criteria for MCMC Draws
Find Vertices

Compute vertices for Mixture Link
Metropolis-Hastings Sampler

Metropolis-Hastings Sampler
Metropolis-within-Gibbs Sampler

Metropolis-within-Gibbs Sampler
Numerical MLE

Numerical MLE
Randomized quantile residuals

Randomized quantile residuals for Mixture Link
S3 methods for mle.fit.ci objects

Print summary of an mle.fit.ci object
S3 methods for rwmetrop output objects

S3 methods for rwmetrop output objects
mlogit

Multinomial logit transformation
normalize

Normalize