Structure learning of Bayesian network using coordinate-descent algorithm. This algorithm is designed for discrete network assuming a multinomial data set, and we use a multi-logit model to do the regression. The algorithm is described in Gu, Fu and Zhou (2016) <arXiv:1403.2310>.
| Package details | |
|---|---|
| Maintainer | |
| License | GPL (>= 2) | 
| Version | 0.0.7 | 
| Package repository | View on GitHub | 
| Installation | Install the latest version of this package by entering the following in R:  | 
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.