R Graphical Manual

Last data update: 2014.03.03

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Results 1 - 10 of 17 found.
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write.method.template (Package: SuperLearner) :

These functions contain the information on the loss function and the model to combine algorithms

● Data Source: CranContrib
● Keywords: utilities
● Alias: method.AUC, method.CC_LS, method.CC_nloglik, method.NNLS, method.NNLS2, method.NNloglik, method.template, write.method.template
● 0 images

write.screen.template (Package: SuperLearner) :

Screening algorithms for SuperLearner to be used with SL.library.

● Data Source: CranContrib
● Keywords: utilities
● Alias: All, screen.SIS, screen.corP, screen.corRank, screen.glmnet, screen.randomForest, screen.template, screen.ttest, write.screen.template
● 0 images

SuperLearner.CV.control (Package: SuperLearner) :

Control parameters for the cross validation steps in SuperLearner

● Data Source: CranContrib
● Keywords: utilities
● Alias: SuperLearner.CV.control
● 0 images

write.SL.template (Package: SuperLearner) :

Template function for SuperLearner prediction wrappers and built in options.

● Data Source: CranContrib
● Keywords: utilities
● Alias: SL.template, predict.SL.template, write.SL.template
● 0 images

SampleSplitSuperLearner (Package: SuperLearner) : Super Learner Prediction Function

A Prediction Function for the Super Learner. The SuperLearner function takes a training set pair (X,Y) and returns the predicted values based on a validation set. SampleSplitSuperLearner uses sample split validation whereas SuperLearner uses V-fold cross-validation.

● Data Source: CranContrib
● Keywords: models
● Alias: SampleSplitSuperLearner
● 0 images

listWrappers (Package: SuperLearner) :

List all wrapper functions in SuperLearner package

● Data Source: CranContrib
● Keywords: utilities
● Alias: listWrappers
● 0 images

predict.SuperLearner (Package: SuperLearner) : Predict method for SuperLearner object

Obtains predictions on a new data set from a SuperLearner fit. May require the original data if one of the library algorithms uses the original data in its predict method.

● Data Source: CranContrib
● Keywords: models
● Alias: predict.SuperLearner
● 0 images

SuperLearner (Package: SuperLearner) : Super Learner Prediction Function

A Prediction Function for the Super Learner. The SuperLearner function takes a training set pair (X,Y) and returns the predicted values based on a validation set.

● Data Source: CranContrib
● Keywords: models
● Alias: SuperLearner, coef.SuperLearner, mcSuperLearner, print.SuperLearner, snowSuperLearner
● 0 images

plot.CV.SuperLearner (Package: SuperLearner) :

The function plots the V-fold cross-validated risk estimates for the super learner, the discrete super learner and each algorithm in the library. By default the estimates will be sorted and include an asymptotic 95% confidence interval.

● Data Source: CranContrib
● Keywords: hplot
● Alias: plot.CV.SuperLearner
● 0 images

SuperLearnerNews (Package: SuperLearner) : Show the NEWS file for the SuperLearner package

Show the NEWS file of the SuperLearner package. The function is simply a wrapper for the RShowDoc function

● Data Source: CranContrib
● Keywords: utilities
● Alias: SuperLearnerDocs, SuperLearnerNews
● 0 images