kasparmartens/PolyaGamma: Bayesian Logistic Regression with Polya-Gamma latent variables
Obtain an MCMC sample from the posterior distribution of parameter beta. To achieve this via Gibbs sampling, latent variables from the Polya-Gamma distribution are introduced.
Getting started
Browse package contents
Package details |
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| Author | Kaspar Martens and Sherman Ip |
| Maintainer | Kaspar Martens <kaspar.martens@gmail.com> |
| License | What license is it under? |
| Version | 0.1 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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