himelmallick/AMAZonn: A Multicollinearity-adjusted Adaptive LASSO for Zero-inflated Count Regression
Algorithms for fitting standard error adjusted EM based zero-inflated penalized coefficient paths for both zero-inflated Poisson and zero-inflated negative binomial regression models. The penalties include Adaptive Least Absolute Shrinkage and Selection Operator (A-LASSO), Smoothly Clipped Absolute Deviation (SCAD) and Minimax Concave Penalty (MCP), and each possibly combining with L_2 penalty.
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Package details |
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| Author | Broti Garai, Prithish Banerjee, and Himel Mallick |
| Maintainer | Broti Garai <garai.broti@gmail.com>, Prithish Banerjee <prithish.banerjee@gmail.com>, and Himel Mallick <hmallick@hsph.harvard.edu> |
| License | Creative Commons |
| Version | 0.0.1 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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