Package: PCS 1.3
PCS: Calculate the Probability of Correct Selection (PCS)
Given k populations (can be in thousands), what is the probability that a given subset of size t contains the true top t populations? This package finds this probability and offers three tuning parameters (G, d, L) to relax the definition.
Authors:
PCS_1.3.tar.gz
PCS_1.3.zip(r-4.5)PCS_1.3.zip(r-4.4)PCS_1.3.zip(r-4.3)
PCS_1.3.tgz(r-4.4-any)PCS_1.3.tgz(r-4.3-any)
PCS_1.3.tar.gz(r-4.5-noble)PCS_1.3.tar.gz(r-4.4-noble)
PCS_1.3.tgz(r-4.4-emscripten)PCS_1.3.tgz(r-4.3-emscripten)
PCS.pdf |PCS.html✨
PCS/json (API)
| # Install 'PCS' in R: |
| install.packages('PCS', repos = c('https://jasonwilson2024.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 2 years agofrom:7a90460e96. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Sep 17 2024 |
| R-4.5-win | OK | Sep 17 2024 |
| R-4.5-linux | OK | Sep 17 2024 |
| R-4.4-win | OK | Sep 17 2024 |
| R-4.4-mac | OK | Sep 17 2024 |
| R-4.3-win | OK | Sep 17 2024 |
| R-4.3-mac | OK | Sep 17 2024 |
Exports:G.H.QuadPCS.boot.npPCS.boot.parPCS.exactPdCSGt.bootstrap.NP2PdofCSGt.bootstrap5PdofCSt.cyc2PdofCSt.T1or2PofCSGtPofCSLt.bootstrap5PofCSttindep
Dependencies:BiobaseBiocGenericslatticeMASSMatrixmultteststatmodsurvival
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Probability of Correct Selection (PCS) | PCS-package PCS |
| Gauss-Hermite Quadrature function | G.H.Quad |
| Probability of Correct Selection (PCS) Calculator | PCS.boot.np PCS.boot.par PCS.exact |
| Non-Parametric Bootstrap for Computing G-best and d-best PCS | PdCSGt.bootstrap.NP2 |
| Parametric Bootstrap for Computing G-best and d-best PCS | PdofCSGt.bootstrap5 |
| Exact PCS, When Selecting t=1 or t=2 or More Populations | PdofCSt.cyc2 PdofCSt.T1or2 PofCSGt |
| Parametric Bootstrap for Computing L-best PCS | PofCSLt.bootstrap5 |
| Probability of Correct Selection (PCS) for Selecting t out of k Populations | PofCSt |
| Standardized Scores for Two Independent Samples | tindep |
