Last data update: 2014.03.03

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R Release (3.2.3)
CranContrib
BioConductor
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Results 1 - 9 of 9 found.
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print.gcdnet (Package: gcdnet) : print a gcdnet object

Print a summary of the gcdnet path at each step along the path.
● Data Source: CranContrib
● Keywords: models, regression
● Alias: print.gcdnet
● 0 images

gcdnet (Package: gcdnet) : Fits the regularization paths for large margin classifiers

Fits a regularization path for large margin classifiers at a sequence of regularization parameters lambda.
● Data Source: CranContrib
● Keywords: models, regression
● Alias: gcdnet
● 0 images

plot.gcdnet (Package: gcdnet) : Plot coefficients from a "gcdnet" object

Produces a coefficient profile plot of the coefficient paths for a fitted gcdnet object. This function is modified based on the plot function from the glmnet package.
● Data Source: CranContrib
● Keywords: models, regression
● Alias: plot.gcdnet
● 0 images

cv.gcdnet (Package: gcdnet) : Cross-validation for gcdnet

Does k-fold cross-validation for gcdnet, produces a plot, and returns a value for lambda. This function is modified based on the cv function from the glmnet package.
● Data Source: CranContrib
● Keywords: models, regression
● Alias: cv.gcdnet, cv.hsvmpath, cv.logitpath, cv.lspath, cv.sqsvmpath
● 0 images

coef.cv.gcdnet (Package: gcdnet) : get coefficients or make coefficient predictions from a "cv.gcdnet" object.

This function gets coefficients or makes coefficient predictions from a cross-validated gcdnet model, using the stored "gcdnet.fit" object, and the optimal value chosen for lambda.
● Data Source: CranContrib
● Keywords: models, regression
● Alias: coef.cv.gcdnet
● 0 images

predict.cv.gcdnet (Package: gcdnet) : make predictions from a "cv.gcdnet" object.

This function makes predictions from a cross-validated gcdnet model, using the stored "gcdnet.fit" object, and the optimal value chosen for lambda.
● Data Source: CranContrib
● Keywords: models, regression
● Alias: predict.cv.gcdnet
● 0 images

coef.gcdnet (Package: gcdnet) : get coefficients or make coefficient predictions from an "gcdnet" object.

Computes the coefficients or returns a list of the indices of the nonzero coefficients at the requested values for lambda from a fitted gcdnet object.
● Data Source: CranContrib
● Keywords: models, regression
● Alias: coef.gcdnet, coef.hsvmpath, coef.logitpath, coef.lspath, coef.sqsvmpath
● 0 images

plot.cv.gcdnet (Package: gcdnet) : plot the cross-validation curve produced by cv.gcdnet

Plots the cross-validation curve, and upper and lower standard deviation curves, as a function of the lambda values used. This function is modified based on the plot.cv function from the glmnet package.
● Data Source: CranContrib
● Keywords: models, regression
● Alias: plot.cv.gcdnet
● 0 images

predict.gcdnet (Package: gcdnet) : make predictions from a "gcdnet" object.

Similar to other predict methods, this functions predicts fitted values and class labels from a fitted gcdnet object.
● Data Source: CranContrib
● Keywords: models, regression
● Alias: predict.gcdnet, predict.hsvmpath, predict.logitpath, predict.lspath, predict.sqsvmpath
● 0 images