Package: OPWeight 1.35.0

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:Mohamad Hasan [aut, cre], Paul Schliekelman [aut]

OPWeight_1.35.0.tar.gz
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manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
OPWeight/json (API)

# 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)

immunooncology biomedicalinformatics multiplecomparison regression rnaseq snp

4.30 score 2 stars 8 exports 29 dependencies

Last updated from:d22e8ce2f0. Checks:1 ERROR, 7 NOTE, 2 OK. Indexed: yes.

Target	Result	Time
bioc-checks	ERROR	186
linux-devel-x86_64	NOTE	235
source / vignettes	OK	361
linux-release-x86_64	NOTE	219
macos-release-arm64	NOTE	107
macos-oldrel-arm64	NOTE	93
windows-devel	NOTE	152
windows-release	NOTE	140
windows-oldrel	NOTE	160
wasm-release	OK	186

Exports:opw prob_rank_givenEffect prob_rank_givenEffect_approx prob_rank_givenEffect_exact prob_rank_givenEffect_simu weight_binary weight_by_delta weight_continuous

Dependencies:cli cpp11 farver ggplot2 glue gtable isoband labeling lifecycle magrittr MASS pillar pkgconfig plyr qvalue R6 RColorBrewer Rcpp reshape2 rlang S7 scales stringi stringr tibble utf8 vctrs viridisLite withr

Introduction to OPWeight

Introduction | Airway RNA-seq data example | Data analysis | Other functions | References

Rendered fromOPWeight.Rmdusingknitr::rmarkdown

Last update: 2018-08-30
Started: 2017-07-14

Citation

Development and contributors

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