Package: APFr 1.0.2
APFr: Multiple Testing Approach using Average Power Function (APF) and Bayes FDR Robust Estimation
Implements a multiple testing approach to the choice of a threshold gamma on the p-values using the Average Power Function (APF) and Bayes False Discovery Rate (FDR) robust estimation. Function apf_fdr() estimates both quantities from either raw data or p-values. Function apf_plot() produces smooth graphs and tables of the relevant results. Details of the methods can be found in Quatto P, Margaritella N, et al. (2019) <doi:10.1177/0962280219844288>.
Authors:
APFr_1.0.2.tar.gz
APFr_1.0.2.zip(r-4.5)APFr_1.0.2.zip(r-4.4)APFr_1.0.2.zip(r-4.3)
APFr_1.0.2.tgz(r-4.4-any)APFr_1.0.2.tgz(r-4.3-any)
APFr_1.0.2.tar.gz(r-4.5-noble)APFr_1.0.2.tar.gz(r-4.4-noble)
APFr_1.0.2.tgz(r-4.4-emscripten)APFr_1.0.2.tgz(r-4.3-emscripten)
APFr.pdf |APFr.html✨
APFr/json (API)
| # Install 'APFr' in R: |
| install.packages('APFr', repos = c('https://nmargaritella.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 5 years agofrom:780e4ee0f9. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 13 2024 |
| R-4.5-win | OK | Nov 13 2024 |
| R-4.5-linux | OK | Nov 13 2024 |
| R-4.4-win | OK | Nov 13 2024 |
| R-4.4-mac | OK | Nov 13 2024 |
| R-4.3-win | OK | Nov 13 2024 |
| R-4.3-mac | OK | Nov 13 2024 |
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Implementation of APF and FDR robust estimation | apf_fdr |
| Generate smooth graphs for the APF and FDR estimates | apf_plot |
| Example dataset 1 | Ex1 |
| Example 2 | Ex2 |
