Package: hommel 1.6
hommel: Methods for Closed Testing with Simes Inequality, in Particular Hommel's Method
Provides methods for closed testing using Simes local tests. In particular, calculates adjusted p-values for Hommel's multiple testing method, and provides lower confidence bounds for true discovery proportions. A robust but more conservative variant of the closed testing procedure that does not require the assumption of Simes inequality is also implemented. The methods have been described in detail in Goeman et al (2016) <arxiv:1611.06739v2>.
Authors:
hommel_1.6.tar.gz
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hommel_1.6.tgz(r-4.4-emscripten)hommel_1.6.tgz(r-4.3-emscripten)
hommel.pdf |hommel.html✨
hommel/json (API)
| # Install 'hommel' in R: |
| install.packages('hommel', repos = c('https://jellegoeman.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 3 years agofrom:f4a4d05a31. Checks:OK: 7 NOTE: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 07 2024 |
| R-4.5-win-x86_64 | NOTE | Nov 07 2024 |
| R-4.5-linux-x86_64 | NOTE | Nov 07 2024 |
| R-4.4-win-x86_64 | OK | Nov 07 2024 |
| R-4.4-mac-x86_64 | OK | Nov 07 2024 |
| R-4.4-mac-aarch64 | OK | Nov 07 2024 |
| R-4.3-win-x86_64 | OK | Nov 07 2024 |
| R-4.3-mac-x86_64 | OK | Nov 07 2024 |
| R-4.3-mac-aarch64 | OK | Nov 07 2024 |
Exports:concentrationdiscoveriesfdphommellocaltestp.adjustshowsummarytdp
Dependencies:Rcpp
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Methods for closed testing with Simes inequality, in particular Hommel's method | hommel-package |
| Concentration set calculation | concentration |
| Calculates adjusted p-values of Hommel's method efficiently. | hommel |
| Class "hommel" for storing the result of Hommel's multiple testing method. | hommel-class p.adjust,hommel-method show,hommel-method summary,hommel-method |
| P-values and adjusted p-values of local tests | localtest |
| Confidence bounds for the number of discoveries | discoveries fdp tdp |
