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MDDC: Modified Detecting Deviating Cells Algorithm in Pharmacovigilance

Methods for detecting signals related to (adverse event, medical product e.g. drugs, vaccines) pairs, a data generation function for simulating pharmacovigilance datasets, and various utility functions. For more details please see Liu A., Mukhopadhyay R., and Markatou M. <doi:10.48550/arXiv.2410.01168>.

Version: 1.0.0
Depends: R (≥ 3.5.0)
Imports: doParallel, foreach, ggplot2, MASS, Rcpp, stats
LinkingTo: Rcpp, RcppEigen
Suggests: knitr, rmarkdown, roxygen2, spelling, testthat (≥ 3.0.0)
Published: 2024-10-04
DOI: 10.32614/CRAN.package.MDDC
Author: Anran Liu ORCID iD [aut, cre], Raktim Mukhopadhyay ORCID iD [aut], Marianthi Markatou ORCID iD [aut]
Maintainer: Anran Liu <anranliu at buffalo.edu>
BugReports: https://github.com/niuniular/MDDC/issues
License: GPL-3
URL: https://github.com/niuniular/MDDC
NeedsCompilation: yes
Language: en-US
Citation: MDDC citation info
Materials: README
CRAN checks: MDDC results

Documentation:

Reference manual: MDDC.pdf
Vignettes: Usage Examples for MDDC in R (source, R code)

Downloads:

Package source: MDDC_1.0.0.tar.gz
Windows binaries: r-devel: MDDC_1.0.0.zip, r-release: MDDC_1.0.0.zip, r-oldrel: MDDC_1.0.0.zip
macOS binaries: r-release (arm64): MDDC_1.0.0.tgz, r-oldrel (arm64): MDDC_1.0.0.tgz, r-release (x86_64): MDDC_1.0.0.tgz, r-oldrel (x86_64): MDDC_1.0.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=MDDC to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.