Robust multivariate classification using highly optimised SVM ensembles


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Documentation for package ‘classyfire’ version 0.1-2

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classyfire-package Robust multivariate classification using highly optimised SVM ensembles
cfBuild Create a highly optimised ensemble of RBF SVM classifiers
cfBuild.default Create a highly optimised ensemble of RBF SVM classifiers
cfPermute Permutation testing to indicate statistical significance of performance
cfPredict Predict the class of new data using an existing ensemble
classyfire Robust multivariate classification using highly optimised SVM ensembles
getAcc Get the accuracies of a classification ensemble
getAvgAcc Get the average accuracies of a classification ensemble
getConfMatr Confusion matrix summarising the performance of an ensemble
getOptParam Get the optimal SVM hyperparameters of a classification ensemble
getPerm5Num Get descriptive statistics from a permutation object
ggClassPred Barplot of the per class accuracies.
ggEnsHist Ensemble Histograms
ggEnsTrend Trend of the test accuracies
ggFusedHist Fused histograms of ensemble and permutation results
ggPermHist Permutation Histograms