Пакет: r-cran-glmnet (4.1-6-1)

[ Източник: 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.

Други пакети, свързани с r-cran-glmnet

• dep: libc6 (>= 2.29)

  GNU C Library: Shared libraries
  също и виртуален пакет, предлаган от libc6-udeb

• dep: libgcc-s1 (>= 3.0)

  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 (>= 5.2)

  GNU Standard C++ Library v3

• dep: r-api-4.0

  виртуален пакет, предлаган от r-base-core

• dep: r-base-core (>= 4.2.2.20221110-1)

  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

• sug: r-cran-knitr

  GNU R package for dynamic report generation using Literate Programming

• sug: r-cran-rmarkdown

  convert R markdown documents into a variety of formats

• sug: r-cran-testthat

  GNU R testsuite

• sug: r-cran-xfun

  miscellaneous GNU R functions by 'Yihui Xie'

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