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Balík: 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.

Ostatné balíky súvisiace s balíkom r-cran-glmnet

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  • dep: libc6 (>= 2.29)
    GNU C Library: Shared libraries
    tiež virtuálny balík poskytovaný balíkom libc6-udeb
  • dep: libgcc-s1 (>= 3.3.1)
    GCC support library
  • dep: libgfortran5 (>= 8)
    Runtime library for GNU Fortran applications
  • dep: libjs-mathjax
    JavaScript display engine for LaTeX and MathML
  • dep: libstdc++6 (>= 9)
    GNU Standard C++ Library v3
  • dep: r-api-4.0
    virtuálny balík poskytovaný balíkom 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
    GNU R package for Eigen templated linear algebra
  • dep: r-cran-shape
    GNU R functions for plotting graphical shapes, colors
  • dep: r-cran-survival
    GNU R package for survival analysis

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