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rIsing: High-Dimensional Ising Model Selection
Fits an Ising model to a binary dataset using L1 regularized logistic regression and extended BIC. Also includes a fast lasso logistic regression function for high-dimensional problems. Uses the 'libLBFGS' optimization library by Naoaki Okazaki.
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Package details |
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| Author | Pratik Ramprasad [aut, cre], Jorge Nocedal [ctb, cph], Naoaki Okazaki [ctb, cph] |
| Maintainer | Pratik Ramprasad <pratik.ramprasad@gmail.com> |
| License | GPL (>= 2) |
| Version | 0.1.0 |
| Package repository | View on CRAN |
| Installation |
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