Package: OPWeight 1.35.0
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_1.35.0.tar.gz
OPWeight_1.35.0.zip(r-4.7)OPWeight_1.35.0.zip(r-4.6)OPWeight_1.35.0.zip(r-4.5)
OPWeight_1.35.0.tgz(r-4.6-any)OPWeight_1.35.0.tgz(r-4.5-any)
OPWeight_1.35.0.tar.gz(r-4.7-any)OPWeight_1.35.0.tar.gz(r-4.6-any)
OPWeight_1.35.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
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-1.35.0(bioc 3.24)OPWeight-1.34.0(bioc 3.23)
immunooncologybiomedicalinformaticsmultiplecomparisonregressionrnaseqsnp
Last updated from:d22e8ce2f0. Checks:1 ERROR, 7 NOTE, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| bioc-checks | ERROR | 187 | ||
| linux-devel-x86_64 | NOTE | 217 | ||
| source / vignettes | OK | 314 | ||
| linux-release-x86_64 | NOTE | 292 | ||
| macos-release-arm64 | NOTE | 135 | ||
| macos-oldrel-arm64 | NOTE | 196 | ||
| windows-devel | NOTE | 145 | ||
| windows-release | NOTE | 155 | ||
| windows-oldrel | NOTE | 143 | ||
| wasm-release | OK | 148 |
Exports:opwprob_rank_givenEffectprob_rank_givenEffect_approxprob_rank_givenEffect_exactprob_rank_givenEffect_simuweight_binaryweight_by_deltaweight_continuous
Dependencies:clicpp11farverggplot2gluegtableisobandlabelinglifecyclemagrittrMASSpillarpkgconfigplyrqvalueR6RColorBrewerRcppreshape2rlangS7scalesstringistringrtibbleutf8vctrsviridisLitewithr
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 |
