Last data update: 2014.03.03

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R Release (3.2.3)
CranContrib
BioConductor
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Results 1 - 6 of 6 found.
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summary.maboost (Package: maboost) :

summary lists the model information for fitted model and final confusion matrix.
● Data Source: CranContrib
● Keywords: methods
● Alias: summary.maboost
● 0 images

print.maboost (Package: maboost) :

print lists the model information and final confusion matrix for submitted data.
● Data Source: CranContrib
● Keywords: methods
● Alias: print.maboost
● 0 images

predict.maboost (Package: maboost) :

predict classifies a new set of observations from a previously built classifier. This function will provide either a vector of new classes, class probability estimates, or both.
● Data Source: CranContrib
● Keywords: methods
● Alias: predict.maboost
● 0 images

maboost (Package: maboost) :

‘maboost’ is used to fit a variety of stochastic boosting models for binary and multiclass responses as described in A Boosting Framework on Grounds of Online Learning by T. Naghibi and B. Pfister, (2014).
● Data Source: CranContrib
● Keywords: classes, methods, models
● Alias: maboost, maboost.default, maboost.formula, maboost.machine.bin, maboost.machine.mult
● 0 images

update.maboost (Package: maboost) :

maboost.update updates the maboost object to have additional trees given a new number of iterations.
● Data Source: CranContrib
● Keywords: methods
● Alias: update.maboost
● 0 images

varplot.maboost (Package: maboost) :

varplot.maboost ranks the variable according to their importance.
● Data Source: CranContrib
● Keywords: methods
● Alias: varplot.maboost
● 0 images