R Graphical Manual

Last data update: 2014.03.03

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R Release (3.2.3)
CranContrib
BioConductor
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Results 1 - 10 of 11 found.
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print.glmnet (Package: glmnet) : print a glmnet object

Print a summary of the glmnet path at each step along the path.

● Data Source: CranContrib
● Keywords: models, regression
● Alias: print.glmnet
● 0 images

deviance.glmnet (Package: glmnet) : Extract the deviance from a glmnet object

Compute the deviance sequence from the glmnet object

● Data Source: CranContrib
● Keywords: models, regression
● Alias: deviance.glmnet
● 0 images

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

This function makes predictions from a cross-validated glmnet model, using the stored "glmnet.fit" object, and the optimal value chosen for lambda.

● Data Source: CranContrib
● Keywords: models, regression
● Alias: coef.cv.glmnet, predict.cv.glmnet
● 0 images

glmnet-package (Package: glmnet) :

This package fits lasso and elastic-net model paths for regression, logistic and multinomial regression using coordinate descent. The algorithm is extremely fast, and exploits sparsity in the input x matrix where it exists. A variety of predictions can be made from the fitted models.

● Data Source: CranContrib
● Keywords: models, package, regression
● Alias: glmnet-package
● 0 images

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

Plots the cross-validation curve, and upper and lower standard deviation curves, as a function of the lambda values used.

● Data Source: CranContrib
● Keywords: models, regression
● Alias: plot.cv.glmnet
● 0 images

plot.glmnet (Package: glmnet) : plot coefficients from a "glmnet" object

Produces a coefficient profile plot of the coefficient paths for a fitted "glmnet" object.

● Data Source: CranContrib
● Keywords: models, regression
● Alias: plot.glmnet, plot.mrelnet, plot.multnet
● 0 images

glmnet-internal (Package: glmnet) : Internal glmnet functions

Internal glmnet functions

● Data Source: CranContrib
● Keywords: internal
● Alias: auc, auc.mat, coefnorm, coxnet, coxnet.deviance, cv.coxnet, cv.elnet, cv.fishnet, cv.lognet, cv.mrelnet, cv.multnet, cvcompute, elnet, error.bars, fishnet, fix.lam, getcoef, getcoef.multinomial, getmin, glmnet_softmax, jerr, jerr.coxnet, jerr.elnet, jerr.fishnet, jerr.lognet, jerr.mrelnet, lambda.interp, lognet, mrelnet, na.mean, nonzeroCoef, plotCoef, response.coxnet, rmult, zeromat
● 0 images

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

Similar to other predict methods, this functions predicts fitted values, logits, coefficients and more from a fitted "glmnet" object.

● Data Source: CranContrib
● Keywords: models, regression
● Alias: coef.glmnet, predict.coxnet, predict.elnet, predict.fishnet, predict.glmnet, predict.lognet, predict.mrelnet, predict.multnet
● 0 images

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

Does k-fold cross-validation for glmnet, produces a plot, and returns a value for lambda

● Data Source: CranContrib
● Keywords: models, regression
● Alias: cv.glmnet
● 0 images

glmnet (Package: glmnet) : fit a GLM with lasso or elasticnet regularization

Fit a generalized linear model via penalized maximum likelihood. The regularization path is computed for the lasso or elasticnet penalty at a grid of values for the regularization parameter lambda. Can deal with all shapes of data, including very large sparse data matrices. Fits linear, logistic and multinomial, poisson, and Cox regression models.

● Data Source: CranContrib
● Keywords: models, regression
● Alias: glmnet
● 0 images