A variable selection procedure for regression models based on Generalized Maximum Entropy estimation (A. Golan, J. Judge and D. Miller, Maximum Entropy Econometrics, Wiley, 1996; Chapter 10). The procedure is useful for well- and ill-posed regression models, namely in models exhibiting small sample sizes, collinearity and non-normal errors.
Package details |
|
|---|---|
| Maintainer | |
| License | MIT + file LICENSE |
| Version | 0.1.0 |
| 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.