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[ Bron: r-cran-glmnet  ]

Pakket: r-cran-glmnet (4.1-6-1)

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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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Pakket downloaden voor alle beschikbare platforms
Platform Pakketgrootte Geïnstalleerde grootte Bestanden
amd64 1.879,0 kB2.479,0 kB [overzicht]
arm64 1.843,3 kB2.419,0 kB [overzicht]
armel 1.845,1 kB2.417,0 kB [overzicht]
armhf 1.832,3 kB2.289,0 kB [overzicht]
i386 1.861,4 kB2.421,0 kB [overzicht]
mips64el 1.834,6 kB2.437,0 kB [overzicht]
mipsel 1.839,0 kB2.430,0 kB [overzicht]
ppc64el 1.884,3 kB2.611,0 kB [overzicht]
s390x 1.838,8 kB2.410,0 kB [overzicht]