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>.
|Author||Mark A. van de Wiel|
|Maintainer||Mark A. van de Wiel <firstname.lastname@example.org>|
|License||GPL (>= 3)|
|Package repository||View on CRAN|
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