trinomial.audit {elec}

Conduct trinomial audit

Description

trinomial.audit converts the audited total counts for candidates to overstatements and taints. trinomial.bound calculates the trinomial bound given the size of an audit sample, the number of non-zero errors, and the size of the small-error threshold. It can also plot a contour of the distribution space, bounds, and alpha lines.

Usage

trinomial.audit(Z, audit)

Arguments

Z

An elec.data object that is the race being audited.

audit

A data.frame with a column for each candidate and a row for each audited precinct, holding the audit totals for each candidate. An additional column, count, holds the number of times that precinct was sampled (since sampling was done by replacement).

Details

Right now the p-value is computed in a clumsy, bad way. A grid of points over (0, xlim) X (0, ylim) is generated corresponding to values of p0 and pd, and for each point the mean of that distribution and the chance of generating an outcome as extreme as k is calculated. Then the set of points with an outcome close to alpha is extrated, and the corresponding bound is optimized over this subset. Not the best way to do things.