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  [aut,
cre],
Raktim Mukhopadhyay
[aut],
Marianthi Markatou
[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:
Downloads:
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