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.

Package details

Author Meihua Wu <[email protected]>, Brisa N. Sanchez <[email protected]>, Peter X.K. Song <[email protected]>, Raymond Luu <[email protected]>, Wen Wang <[email protected]>
MaintainerBrisa N. Sanchez <[email protected]>
Package repositoryView on CRAN
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HDDesign documentation built on May 29, 2017, 8:13 p.m.