Determine the sample size requirement to achieve the target probability of correct classification (PCC) for studies employing high-dimensional features. The package implements functions to 1) determine the asymptotic feasibility of the classification problem; 2) compute the upper bounds of the PCC for any linear classifier; 3) estimate the PCC of three design methods given design assumptions; 4) determine the sample size requirement to achieve the target PCC for three design methods.

Version: | 1.1 |

Published: | 2016-06-11 |

Author: | Meihua Wu, Brisa N. Sanchez, Peter X.K. Song, Raymond Luu, Wen Wang |

Maintainer: | Brisa N. Sanchez <brisa at umich.edu> |

License: | GPL-2 |

NeedsCompilation: | yes |

CRAN checks: | HDDesign results |

Reference manual: | HDDesign.pdf |

Package source: | HDDesign_1.1.tar.gz |

Windows binaries: | r-devel: HDDesign_1.1.zip, r-devel-gcc8: HDDesign_1.1.zip, r-release: HDDesign_1.1.zip, r-oldrel: HDDesign_1.1.zip |

OS X binaries: | r-release: HDDesign_1.1.tgz, r-oldrel: HDDesign_1.1.tgz |

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