himelmallick/Gooogle: Group Regularization for Zero-inflated Count Models
Efficient algorithm for fitting zero inflated count models in the presence of intrinsic grouping structure in the covariate space. This includes group level selection methods such as group lasso, group MCP and group SCAD and bi-level selection method such as group bridge.
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Package details |
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| Author | Saptarshi Chatterjee <schatterjee@niu.edu>, Shrabanti Chowdhury <gg0658@wayne.edu> and Himel Mallick <hmallick@hsph.harvard.edu> |
| Maintainer | Saptarshi Chatterjee <schatterjee@niu.edu>, Shrabanti Chowdhury <gg0658@wayne.edu>, and Himel Mallick <hmallick@hsph.harvard.edu> |
| License | Harvard |
| 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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