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 |
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