ci_for_ic: Confidence intervals for Information Component (IC)
In pvda: Disproportionality Functions for Pharmacovigilance

ci_for_ic

R Documentation

Confidence intervals for Information Component (IC)

Mainly used in function ic. Produces quantiles of the posterior gamma distribution. Called twice in ic to create credibility intervals.

ci_for_ic(obs, exp, conf_lvl_probs, shrinkage)

`obs`	A numeric vector with observed counts, i.e. number of reports for the selected drug-event-combination. Note that shrinkage (e.g. +0.5) is added inside the function and should not be included here.
`exp`	A numeric vector with expected counts, i.e. number of reports to be expected given a comparator or background. Note that shrinkage (e.g. +0.5) is added inside the function and should not be included here.
`conf_lvl_probs`	The probabilities of the posterior, based on a passed confidence level (`conf_lvl`) in `ic`. For instance, if `sgn_lvl = .95` in `ic` is used, quantiles will be extracted at `sgn_lvl_probs` 0.025 and 0.975.
`shrinkage`	A non-negative numeric value, to be added to observed and expected count. Default is 0.5.

The credibility interval specified by input parameters.