HDDesign: Sample Size Calculation for High Dimensional Classification Study

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
DOI: 10.32614/CRAN.package.HDDesign
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-release: HDDesign_1.1.zip, r-oldrel: HDDesign_1.1.zip
macOS binaries: r-release (arm64): HDDesign_1.1.tgz, r-oldrel (arm64): HDDesign_1.1.tgz, r-release (x86_64): HDDesign_1.1.tgz, r-oldrel (x86_64): HDDesign_1.1.tgz


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