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Paket: r-cran-glmnet (3.0-2-1)

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.

Andra paket besläktade med r-cran-glmnet

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  • dep: libc6 (>= 2.29)
    GNU C Library: Shared libraries
    också ett virtuellt paket som tillhandahålls av libc6-udeb
  • dep: libgfortran5 (>= 8)
    Runtime library for GNU Fortran applications
  • dep: r-api-3.5
    virtuellt paket som tillhandahålls av r-base-core
  • dep: r-base-core (>= 3.6.2-2)
    GNU R core of statistical computation and graphics system
  • dep: r-cran-foreach
    GNU R foreach looping support
  • dep: r-cran-matrix (>= 1.0-6)
    GNU R package of classes for dense and sparse matrices
  • dep: r-cran-shape
    GNU R functions for plotting graphical shapes, colors
  • sug: r-cran-knitr
    GNU R package for dynamic report generation using Literate Programming
  • sug: r-cran-survival
    GNU R package for survival analysis

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