openEBGM
0.9.1EBGM Disproportionality Scores for Adverse Event Data Mining
Overview
An implementation of DuMouchel's (1999) doi:10.1080/00031305.1999.10474456 Bayesian data mining method for the market basket problem. Calculates Empirical Bayes Geometric Mean (EBGM) and posterior quantile scores using the Gamma-Poisson Shrinker (GPS) model to find unusually large cell counts in large, sparse contingency tables. Can be used to find unusually high reporting rates of adverse events associated with products. In general, can be used to mine any database where the co-occurrence of two variables or items is of interest. Also calculates relative and proportional reporting ratios. Builds on the work of the 'PhViD' package, from which much of the code is derived. Some of the added features include stratification to adjust for confounding variables and data squashing to improve computational efficiency. Includes an implementation of the EM algorithm for hyperparameter estimation loosely derived from the 'mederrRank' package.
Install
Health
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- NOTE2026-03-100 OK · 14 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 70%
Downloads
Dependencies
Nothing depends on this yet.
Code & Tests
Datasets
People & History
12 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- 0.9.1Latest
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- 0.8.32020-03-02 · diff ↗
- RR 3.6.0 released · 2019-04-26
- 0.8.22019-04-25 · diff ↗
- 0.8.12019-02-28 · diff ↗
- 0.8.02019-01-30 · diff ↗
- 0.7.02018-08-16 · diff ↗
- 0.6.02018-05-21 · diff ↗
- RR 3.5.0 released · 2018-04-23
Package metadata
- First published
- 2017-05-05
- Total releases
- 12 / 9 yrs
- License
- GPL-2 | GPL-3 OSI
- Minimum R
- ≥ 3.2.3
- Bundled data
- 106 KB / 2 files
- Download size
- 289 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet