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useDynLib(e1071)
import(graphics)
import(stats)
import(grDevices)
importFrom(class, knn, knn1)
if(getRversion() >= "2.5.0")
importFrom(utils, write.table)
export(ddiscrete, pdiscrete, qdiscrete, rdiscrete, bclust,
hclust.bclust, centers.bclust, clusters.bclust, bincombinations,
bootstrap.lca, classAgreement, cmeans, countpattern, cshell,
element, fclustIndex, hamming.distance, hamming.window,
hanning.window, ica, impute, interpolate, kurtosis, lca,
matchControls, matchClasses, compareMatchedClasses, moment,
naiveBayes, permutations, rbridge, read.matrix.csr,
write.matrix.csr, rectangle.window, rwiener, allShortestPaths,
extractPath, sigmoid, dsigmoid, d2sigmoid, skewness, stft, svm,
tune, tune.control, write.svm, probplot, hsv_palette)
exportPattern("tune\\..+", "best\\..+")
S3method(boxplot, bclust)
S3method(lines, probplot)
S3method(naiveBayes, default)
S3method(naiveBayes, formula)
S3method(summary, lca)
S3method(summary, svm)
S3method(summary, tune)
S3method(plot, bclust)
S3method(plot, ica)
S3method(plot, stft)
S3method(plot, svm)
S3method(plot, tune)
S3method(predict, lca)
S3method(predict, naiveBayes)
S3method(predict, svm)
S3method(print, bootstrap.lca)
S3method("print", "fclust")
S3method(print, ica)
S3method(print, lca)
S3method(print, summary.lca)
S3method(print, naiveBayes)
S3method(print, svm)
S3method(print, summary.svm)
S3method(print, tune)
S3method(print, summary.tune)
S3method(svm, default)
S3method(svm, formula)
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