carlislerainey/separation: Using informative priors to deal with separation in logistic regression models
Provides a set of computational tools to compute the partial prior predictive distribution, as well as tools MCMC estimation and plotting inferences.
Getting started
Browse package contents
Package details |
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| Author | Carlisle Rainey |
| Maintainer | Carlisle Rainey <carlislerainey@gmail.com> |
| License | MIT + file LICENSE |
| 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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