asbates/geblm: Geometrically Ergodic Bayesian Linear Models
Posterior samples for Bayesian linear models via geometrically convergent Gibbs samplers. Linear models with a proper normal-gamma prior are supported as well as linear mixed models with both improper and proper priors. Geometric ergodicity of the Gibbs samplers allow for computation of MCMC standard error estimates.
Getting started
Browse package contents
Package details |
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| Maintainer | |
| License | MIT + file LICENSE |
| Version | 0.0.0.9000 |
| URL | https://github.com/asbates/geblm |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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