Package: HDDesign
Version: 1.1
Date: 2016-06-10
Title: Sample Size Calculation for High Dimensional Classification
        Study
Author: 
	Meihua Wu <meihuawu@umich.edu>,
	Brisa N. Sanchez <brisa@umich.edu>,
	Peter X.K. Song <pxsong@umich.edu>, 
	Raymond Luu <raluu@umich.edu>,
	Wen Wang <wangwen@umich.edu>
Maintainer: Brisa N. Sanchez <brisa@umich.edu>
Description: 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. 
License: GPL-2
Packaged: 2016-06-11 01:01:05 UTC; jiangwenjiaowa
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2016-06-11 09:37:25
Built: R 4.2.0; ; 2022-04-25 18:08:58 UTC; unix
