Package: OPWeight 1.29.0
Mohamad Hasan
OPWeight: Optimal p-value weighting with independent information
This package perform weighted-pvalue based multiple hypothesis test and provides corresponding information such as ranking probability, weight, significant tests, etc . To conduct this testing procedure, the testing method apply a probabilistic relationship between the test rank and the corresponding test effect size.
Authors:
OPWeight_1.29.0.tar.gz
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OPWeight.pdf |OPWeight.html✨
OPWeight/json (API)
NEWS
| # Install 'OPWeight' in R: |
| install.packages('OPWeight', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/mshasan/opweight/issues
On BioConductor:OPWeight-1.27.0(bioc 3.20)OPWeight-1.26.0(bioc 3.19)
immunooncologybiomedicalinformaticsmultiplecomparisonregressionrnaseqsnp
Last updated 23 days agofrom:1f5f472717. Checks:OK: 1 NOTE: 6. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 30 2024 |
| R-4.5-win | NOTE | Oct 30 2024 |
| R-4.5-linux | NOTE | Oct 30 2024 |
| R-4.4-win | NOTE | Oct 30 2024 |
| R-4.4-mac | NOTE | Oct 30 2024 |
| R-4.3-win | NOTE | Oct 30 2024 |
| R-4.3-mac | NOTE | Oct 30 2024 |
Exports:opwprob_rank_givenEffectprob_rank_givenEffect_approxprob_rank_givenEffect_exactprob_rank_givenEffect_simuweight_binaryweight_by_deltaweight_continuous
Dependencies:clicolorspacefansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigplyrqvalueR6RColorBrewerRcppreshape2rlangscalesstringistringrtibbleutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Perform Optimal Pvalue Weighting | opw |
| Probability of rank of test given effect size | prob_rank_givenEffect |
| Probability of rank of test given effect size by normal approximation | prob_rank_givenEffect_approx |
| Probability of rank of test given effect size by exact method | prob_rank_givenEffect_exact |
| Probability of rank of test given effect size by simulations | prob_rank_givenEffect_simu |
| Weight for the Binary effect sizes | weight_binary |
| Find sum of weights for the LaGrange multiplier | weight_by_delta |
| Weight for the continuous effect sizes | weight_continuous |
