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gcdnet (version 1.0.5)

LASSO and Elastic Net (Adaptive) Penalized Least Squares, Logistic Regression, HHSVM, Squared Hinge SVM and Expectile Regression using a Fast GCD Algorithm

Description

A generalized coordinate descent (GCD) algorithm for computing the solution path of the hybrid Huberized support vector machine (HHSVM) and its generalization, including the LASSO and elastic net (adaptive) penalized least squares, logistic regression, HHSVM, squared hinge loss SVM and expectile regression.

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Install

install.packages('gcdnet')

Monthly Downloads

353

Version

1.0.5

License

GPL-2

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Last Published

November 20th, 2017

Functions in gcdnet (1.0.5)

FHT

FHT data introduced in Friedman et al. (2010).
cv.gcdnet

Cross-validation for gcdnet
coef.gcdnet

get coefficients or make coefficient predictions from an "gcdnet" object.
coef.cv.gcdnet

get coefficients or make coefficient predictions from a "cv.gcdnet" object.
predict.gcdnet

make predictions from a "gcdnet" object.
print.gcdnet

print a gcdnet object
plot.gcdnet

Plot coefficients from a "gcdnet" object
predict.cv.gcdnet

make predictions from a "cv.gcdnet" object.
gcdnet

Fits the regularization paths for large margin classifiers
plot.cv.gcdnet

plot the cross-validation curve produced by cv.gcdnet