Package: HDDesign 1.1

Brisa N. Sanchez

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.

Authors:Meihua Wu <[email protected]>, Brisa N. Sanchez <[email protected]>, Peter X.K. Song <[email protected]>, Raymond Luu <[email protected]>, Wen Wang <[email protected]>

HDDesign_1.1.tar.gz
HDDesign_1.1.tar.gz(r-4.5-noble)HDDesign_1.1.tar.gz(r-4.4-noble)
HDDesign_1.1.tgz(r-4.4-emscripten)HDDesign_1.1.tgz(r-4.3-emscripten)
HDDesign.pdf |HDDesign.html✨
HDDesign/json (API)

Peer review:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

14 exports 0.00 score 0 dependencies 15 scripts 140 downloads

Last updated 8 years agofrom:5ea3d93332. Checks:OK: 2. Indexed: yes.

Exports:cv_methodcv_method_corrcv_method_MCcv_method_MC_corrds_methodhct_betahct_empiricalhct_methodhct_method_corrhct_method_MChct_method_MC_corrideal_pccsamplesizewhich.region

Dependencies: