Package: r-cran-glmnet (2.0-16-2)

[ Source: r-cran-glmnet  ]

Lasso and Elastic-Net Regularized Generalized Linear Models

Extremely efficient procedures for fitting the entire lasso or elastic-net regularization path for linear regression, logistic and multinomial regression models, Poisson regression and the Cox model. Two recent additions are the multiple-response Gaussian, and the grouped multinomial. The algorithm uses cyclical coordinate descent in a path-wise fashion, as described in the paper Introduction to Glmnet.

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• dep: libc6 (>= 2.27)

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• dep: libgfortran5 (>= 8)

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• dep: libjs-mathjax

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• dep: libquadmath0 (>= 4.6) [amd64, i386]

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• dep: r-api-3.5

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• dep: r-base-core (>= 3.5.1-2)

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• dep: r-cran-foreach

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• dep: r-cran-matrix (>= 1.0-6)

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