Nothing
tglm: Binary Regressions under Independent Student-t Priors
Use Gibbs sampler with Polya-Gamma data augmentation to fit logistic and probit regression under independent Student-t priors (including Cauchy priors and normal priors as special cases).
Getting started
Browse package contents
Package details |
|
|---|---|
| Author | Yingbo Li |
| Maintainer | Yingbo Li <ybli@clemson.edu> |
| License | GPL (>= 2) |
| Version | 1.0 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the tglm package in your browser
Any scripts or data that you put into this service are public.
