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:
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)
| # Install 'HDDesign' in R: |
| install.packages('HDDesign', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 9 years agofrom:5ea3d93332. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Dec 15 2024 |
| R-4.5-linux | OK | Dec 15 2024 |
Exports:cv_methodcv_method_corrcv_method_MCcv_method_MC_corrds_methodhct_betahct_empiricalhct_methodhct_method_corrhct_method_MChct_method_MC_corrideal_pccsamplesizewhich.region
Dependencies:
