Package: AEenrich 1.1.0

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) <arxiv:2007.02266>.

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

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# 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:

3.48 score 3 stars 1 scripts 296 downloads 2 exports 47 dependencies

Last updated 2 years agofrom:78580f863a. Checks:1 OK, 7 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 13 2025
R-4.5-winNOTEFeb 13 2025
R-4.5-macNOTEFeb 13 2025
R-4.5-linuxNOTEFeb 13 2025
R-4.4-winNOTEFeb 13 2025
R-4.4-macNOTEFeb 13 2025
R-4.3-winNOTEFeb 13 2025
R-4.3-macNOTEFeb 13 2025

Exports:count_casesenrich

Dependencies:backportsbroomclicodetoolscolorspacecpp11doParalleldplyrfansifarverforeachgenericsggplot2gluegtableisobanditeratorslabelinglatticelifecyclemagrittrMASSMatrixmgcvmodelrmunsellnlmepillarpkgconfigplyrpurrrqvalueR6RColorBrewerRcppreshape2rlangscalesstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr