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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.
Getting started
Browse package contents
Package details |
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| 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> |
| License | GPL-2 |
| Version | 1.1 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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