R: Disproportionality Functions for Pharmacovigilance

# Disproportionality Functions for Pharmacovigilance

## Documentation for package ‘pvda’ version 0.0.3

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

## Help Pages

add_disproportionality | Add disproportionality estimates to data frame with expected counts
add_expected_counts | Produces expected counts
apply_rule_of_N | apply_rule_of_N
build_colnames_da | An internal function creating colnames for da confidence/credibility bounds
ci_for_ic | Confidence intervals for Information Component (IC)
ci_for_prr | Confidence intervals for Proportional Reporting Rate
ci_for_ror | Confidence intervals for Reporting Odds Ratio
conf_lvl_to_quantile_prob | Quantile probabilities from confidence level
count_expected_prr | Count expected for Proportional Reporting Rate
count_expected_ror | Count expected for Reporting Odds Ratio
count_expected_rrr | Count Expected for Relative Reporting Rate
da | Disproportionality Analysis
drug_event_df | A simulated ICSR database
grouped_da | Disproportionality Analysis by Subgroups
ic | Information component
print.da | print function for da objects
prr | Proportional Reporting Rate
ror | Reporting Odds Ratio
round_and_sort_by_lower_da_limit | Sort a disproportionality analysis by the lower da conf. or cred. limit
round_columns_with_many_decimals | Rounds columns in da_df with many decimals
summary.da | Summary function for disproportionality objects
tiny_dataset | A 110 reports big, simulated ICSR database
write_to_excel | Write to excel