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

Documentation:

Reference manual:

HDDesign.pdf

Downloads:

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-devel (arm64): HDDesign_1.1.tgz, r-release (arm64): HDDesign_1.1.tgz, r-oldrel (arm64): HDDesign_1.1.tgz, r-devel (x86_64): HDDesign_1.1.tgz, r-release (x86_64): HDDesign_1.1.tgz, r-oldrel (x86_64): HDDesign_1.1.tgz

Linking:

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