Mixture Link Regression
Overview
The Mixture Link model arXiv:1612.03302 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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Documentation
- Help pages
- 14
- Examples that run
- 75%6 run in a plain check · 2 never run
- Exported functions with examples
- 80%
- Documented parameters
- 99%
- Return-value docs
- 100%
- Help pages citing references
- 50%
Downloads
Dependencies
Code & Tests
People & History
Pick two releases to compare their code metrics.
- RR 4.2.0 released · 2022-04-22
- archivedRemoved from CRAN2021-11-05check problems were not corrected in time
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- RR 3.6.0 released · 2019-04-26
- RR 3.5.0 released · 2018-04-23
- 0.1.52017-07-08 · diff ↗ ·
removed 4 exports
gibbs.mixlink.reg, DIC.gibbs.mixlink.reg, DIC.rwmetrop.mixlink.binomial, DIC.rwmetrop.mixlink.poissonadded 4 exports
gibbs.mixlink, mlogit, inv.mlogit, DIC - RR 3.4.0 released · 2017-04-21
- 0.1.42016-12-25 · diff ↗
- 0.1.22016-12-22
- RR 3.3.0 released · 2016-05-03
Package metadata
- First published
- 2016-12-22
- Total releases
- 3 / 10 yrs
- License
- GPL (>= 2) OSI
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