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rpc: Ridge Partial Correlation
Computes the ridge partial correlation coefficients in a high or ultra-high dimensional linear regression problem. An extended Bayesian information criterion is also implemented for variable selection. Users provide the matrix of covariates as a usual dense matrix or a sparse matrix stored in a compressed sparse column format. Detail of the method is given in the manual.
Getting started
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Package details |
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| Author | Somak Dutta [aut, cre, cph], An Nguyen [aut, ctb], Run Wang [ctb], Vivekananda Roy [ctb] |
| Maintainer | Somak Dutta <somakd@iastate.edu> |
| License | GPL (>= 2) |
| Version | 2.0.3 |
| Package repository | View on CRAN |
| Installation |
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