[ 原始碼： r-cran-glmnet ]
套件：r-cran-glmnet（4.1-2）
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.
其他與 r-cran-glmnet 有關的套件
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- dep: libc6 (>= 2.29)
- GNU C 函式庫：共用函式庫
同時作為一個虛擬套件由這些套件填實： libc6-udeb
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- dep: libgfortran5 (>= 8)
- Runtime library for GNU Fortran applications
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- dep: libjs-mathjax
- JavaScript display engine for LaTeX and MathML
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- dep: r-api-4.0
- 本虛擬套件由這些套件填實： r-base-core
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- dep: r-base-core (>= 4.0.4-1)
- GNU R core of statistical computation and graphics system
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- dep: r-cran-foreach
- GNU R foreach looping support
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- dep: r-cran-matrix (>= 1.0-6)
- GNU R package of classes for dense and sparse matrices
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- dep: r-cran-shape
- GNU R functions for plotting graphical shapes, colors
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- dep: r-cran-survival
- GNU R package for survival analysis
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- sug: r-cran-knitr
- GNU R package for dynamic report generation using Literate Programming
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- sug: r-cran-rmarkdown
- convert R markdown documents into a variety of formats
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- sug: r-cran-testthat
- GNU R testsuite
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- sug: r-cran-xfun
- miscellaneous GNU R functions by 'Yihui Xie'