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
AEenrich_1.1.1.zip(r-4.7-any)AEenrich_1.1.1.zip(r-4.6-any)AEenrich_1.1.1.zip(r-4.5-any)
AEenrich_1.1.1.tgz(r-4.6-any)AEenrich_1.1.1.tgz(r-4.5-any)
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AEenrich_1.1.1.tgz(r-4.6-emscripten)
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:

3.65 score 3 stars 3 scripts 470 downloads 2 exports 40 dependencies

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

TargetResultTimeFilesSyslog
linux-develOK228
source / vignettesOK178
linux-releaseOK226
macos-releaseOK96
macos-oldrelOK109
windows-develOK78
windows-releaseOK75
windows-oldrelOK76
wasm-releaseOK112

Exports:count_casesenrich

Dependencies:backportsbroomclicodetoolscpp11doParalleldplyrfarverforeachgenericsggplot2gluegtableisobanditeratorslabelinglifecyclemagrittrmodelrpillarpkgconfigplyrpurrrqvalueR6RColorBrewerRcppreshape2rlangS7scalesstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr