RSSL/DESCRIPTION at master · RcppDeepState/RSSL · GitHub

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Package: RSSL
Version: 0.9.6
Title: Implementations of Semi-Supervised Learning Approaches for Classification
Authors@R: c(person("Jesse", "Krijthe", role = c("aut", "cre"),
    email = "jkrijthe@gmail.com"))
Depends:
    R(>= 2.10.0)
Imports:
    methods,
    Rcpp,
    MASS,
    kernlab,
    quadprog,
    Matrix,
    dplyr,
    tidyr,
    ggplot2,
    reshape2,
    scales,
    cluster
LinkingTo: Rcpp, RcppArmadillo
Suggests:
    testthat,
    rmarkdown,
    SparseM,
    numDeriv,
    LiblineaR,
    covr
Description: A collection of implementations of semi-supervised classifiers
    and methods to evaluate their performance. The package includes implementations
    of, among others, Implicitly Constrained Learning, Moment Constrained Learning,
    the Transductive SVM, Manifold regularization, Maximum Contrastive Pessimistic
    Likelihood estimation, S4VM and WellSVM.
License: GPL (>= 2)
URL: https://github.com/jkrijthe/RSSL
BugReports: https://github.com/jkrijthe/RSSL
Roxygen: list(old_usage = TRUE)
Collate:
    'Generics.R'
    'Classifier.R'
    'CrossValidation.R'
    'LeastSquaresClassifier.R'
    'EMLeastSquaresClassifier.R'
    'NormalBasedClassifier.R'
    'LinearDiscriminantClassifier.R'
    'EMLinearDiscriminantClassifier.R'
    'NearestMeanClassifier.R'
    'EMNearestMeanClassifier.R'
    'LogisticRegression.R'
    'EntropyRegularizedLogisticRegression.R'
    'Evaluate.R'
    'GRFClassifier.R'
    'GenerateSSLData.R'
    'HelperFunctions.R'
    'ICLeastSquaresClassifier.R'
    'ICLinearDiscriminantClassifier.R'
    'KernelLeastSquaresClassifier.R'
    'KernelICLeastSquaresClassifier.R'
    'LaplacianKernelLeastSquaresClassifier.R'
    'LaplacianSVM.R'
    'LearningCurve.R'
    'LinearSVM.R'
    'LogisticLossClassifier.R'
    'MCLinearDiscriminantClassifier.R'
    'MCNearestMeanClassifier.R'
    'MCPLDA.R'
    'MajorityClassClassifier.R'
    'Measures.R'
    'Plotting.R'
    'QuadraticDiscriminantClassifier.R'
    'RSSL.R'
    'RcppExports.R'
    'S4VM.R'
    'SVM.R'
    'SelfLearning.R'
    'TSVM.R'
    'USMLeastSquaresClassifier.R'
    'WellSVM.R'
    'scaleMatrix.R'
    'svmd.R'
    'svmlin.R'
    'testdata-data.R'
Encoding: UTF-8
RoxygenNote: 7.2.3