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.
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License | MIT + file LICENSE |
Version | 0.1.0 |
Package repository | View on GitHub |
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