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Multi-penalty linear, logistic and cox ridge regression, including estimation of the penalty parameters by efficient (repeated) cross-validation and marginal likelihood maximization. Multiple high-dimensional data types that require penalization are allowed, as well as unpenalized variables. Paired and preferential data types can be specified. See Van de Wiel et al. (2021), <arXiv:2005.09301>.
Package details |
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Author | Mark A. van de Wiel |
Maintainer | Mark A. van de Wiel <mark.vdwiel@amsterdamumc.nl> |
License | GPL (>= 3) |
Version | 1.11 |
Package repository | View on CRAN |
Installation |
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