R: EBGM Disproportionality Scores for Adverse Event Data Mining

# EBGM Disproportionality Scores for Adverse Event Data Mining

## Documentation for package ‘openEBGM’ version 0.10.0

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## Help Pages

autoHyper | Semi-automated hyperparameter estimation
autoSquash | Automated data squashing
caers | Dietary supplement reports
caers_raw | Raw Human Foods Complaint System (HFCS) data (formerly CAERS)
ebgm | Calculate EBGM scores
ebScores | Construct an openEBGM object
exploreHypers | Explore various hyperparameter estimates
hyperEM | Estimate hyperparameters using an EM algorithm
negLL | Likelihood without zero counts
negLLsquash | Likelihood with data squashing and no zero counts
negLLzero | Likelihood with zero counts
negLLzeroSquash | Likelihood with data squashing & zero counts
plot.openEBGM | Plot an openEBGM object
print.openEBGM | Print an openEBGM object
processRaw | Process raw data
Qn | Calculate Qn
quantBisect | Find quantiles of the posterior distribution
squashData | Squash data for hyperparameter estimation
summary.openEBGM | Summarize an openEBGM object