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glmaag: Adaptive LASSO and Network Regularized Generalized Linear Models
Efficient procedures for adaptive LASSO and network regularized for Gaussian, logistic, and Cox model. Provides network estimation procedure (combination of methods proposed by Ucar, et. al (2007) <doi:10.1093/bioinformatics/btm423> and Meinshausen and Buhlmann (2006) <doi:10.1214/009053606000000281>), cross validation and stability selection proposed by Meinshausen and Buhlmann (2010) <doi:10.1111/j.1467-9868.2010.00740.x> and Liu, Roeder and Wasserman (2010) <arXiv:1006.3316> methods. Interactive R app is available.
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Package details |
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| Author | Kaiqiao Li [aut, cre], Pei Fen Kuan [aut], Xuefeng Wang [aut] |
| Maintainer | Kaiqiao Li <kaiqiao.li@stonybrook.edu> |
| License | MIT + file LICENSE |
| Version | 0.0.6 |
| Package repository | View on CRAN |
| Installation |
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