Package: cherry 0.6-14
cherry: Multiple Testing Methods for Exploratory Research
Provides an alternative approach to multiple testing by calculating a simultaneous upper confidence bounds for the number of true null hypotheses among any subset of the hypotheses of interest, using the methods of Goeman and Solari (2011) <doi:10.1214/11-STS356>.
Authors:
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cherry.pdf |cherry.html✨
cherry/json (API)
# Install 'cherry' in R: |
install.packages('cherry', repos = c('https://jellegoeman.r-universe.dev', 'https://cloud.r-project.org')) |
- NAEP - National Assessment of Educational Progress (NAEP) p-values
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 4 years agofrom:dfc9cd791b. Checks:OK: 5 NOTE: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 18 2024 |
R-4.5-win | NOTE | Nov 18 2024 |
R-4.5-linux | NOTE | Nov 18 2024 |
R-4.4-win | OK | Nov 18 2024 |
R-4.4-mac | OK | Nov 18 2024 |
R-4.3-win | OK | Nov 18 2024 |
R-4.3-mac | OK | Nov 18 2024 |
Exports:adjustedalphaalpha<-closedconstructcurveFishercurveMeinshausencurveSimesDAGmethodDAGpickdefininghommelFasthypothesesimplicationsistwowaypickpickFisherpickMeinshausenpickSimespvalueregionmethodregionpickregionplotregionplot2shortlistshowstructuredHolmsummary