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Paquet : r-cran-glmnet (4.1-3-1)

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.

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  • dep: libc6 (>= 2.29)
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  • dep: libgcc-s1 (>= 3.3.1) [non armhf]
    GCC support library
    dep: libgcc-s1 (>= 3.5) [armhf]
  • dep: libgfortran5 (>= 8)
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  • dep: libstdc++6 (>= 5.2) [armhf]
    GNU Standard C++ Library v3
    dep: libstdc++6 (>= 9) [non armhf]
  • dep: r-api-4.0
    paquet virtuel fourni par r-base-core
  • dep: r-base-core (>= 4.1.2-1)
    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-rcpp
    GNU R package for Seamless R and C++ Integration
  • dep: r-cran-rcppeigen
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  • dep: r-cran-shape
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  • dep: r-cran-survival
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amd64 1 842,8 ko2453 ko [liste des fichiers]
arm64 1 831,2 ko2377 ko [liste des fichiers]
armhf 1 826,2 ko2300 ko [liste des fichiers]
ppc64el 1 890,5 ko2617 ko [liste des fichiers]