Package: AEenrich 1.1.1

Michael Kleinsasser

AEenrich: Adverse Event Enrichment Tests

We extend existing gene enrichment tests to perform adverse event enrichment analysis. Unlike the continuous gene expression data, adverse event data are counts. Therefore, adverse event data has many zeros and ties. We propose two enrichment tests. One is a modified Fisher's exact test based on pre-selected significant adverse events, while the other is based on a modified Kolmogorov-Smirnov statistic. We add Covariate adjustment to improve the analysis."Adverse event enrichment tests using VAERS" Shuoran Li, Lili Zhao (2020) <doi:10.48550/arXiv.2007.02266>.

Authors:Shuoran Li [aut], Hongfan Chen [aut], Lili Zhao [aut], Michael Kleinsasser [aut, cre]

AEenrich_1.1.1.tar.gz
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AEenrich_1.1.1.tgz(r-4.6-any)AEenrich_1.1.1.tgz(r-4.5-any)
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manual.pdf |manual.html
DESCRIPTION
card.svg |card.png
AEenrich/json (API)

# Install 'AEenrich' in R:
install.packages('AEenrich', repos = c('https://umich-biostatistics.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/umich-biostatistics/aeenrich/issues

Datasets:
  • covid1 - Covid Vaccine Adverse Event Data
  • covid2 - Covid Vaccine Adverse Event Data
  • group - Group Structure Data

On CRAN:

Conda:

3.95 score 3 stars 3 scripts 312 downloads 2 exports 40 dependencies

Last updated from:1cfe898bb9. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK146
source / vignettesOK171
linux-release-x86_64OK121
macos-release-arm64OK94
macos-oldrel-arm64OK106
windows-develOK103
windows-releaseOK83
windows-oldrelOK83
wasm-releaseOK106

Exports:count_casesenrich

Dependencies:backportsbroomclicodetoolscpp11doParalleldplyrfarverforeachgenericsggplot2gluegtableisobanditeratorslabelinglifecyclemagrittrmodelrpillarpkgconfigplyrpurrrqvalueR6RColorBrewerRcppreshape2rlangS7scalesstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr