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Determine the sample size requirement to achieve the target probability of correct classification (PCC) for studies employing highdimensional 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.
Package details 


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  GPL2 
Version  1.1 
Package repository  View on CRAN 
Installation 
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