Functions for election audits using stratified random samples

Documentation for package ‘elec.strat’ version 0.1.1

BaB	Finding the exact p-value.
CA_House_2008	Set of 2008 California U.S. House Races
CA_House_2008.strat	Set of 2008 California U.S. House Races
eqValBound	p-value Through Relaxation on Number of Batches Without Difference
first.r	Obtain a Vector of Sample Sizes with Total Number of Samples Fixed
get.first.r.samp	Obtain a Vector of Sample Sizes Given Constraint on p-Value
get.next.r.samp	Obtain a Vector of Sample Sizes Given Constraint on p-Value
get.prop.samp	Obtain a Vector of Sample Sizes Given Constraint on p-Value
getEbsMargin	Updating Error Bounds and Margin Given the Observed Maximum
getQ	Obtaining the Cost Vector.
is.strat.elec.data	Verifying a strat.elec.data Object.
LKPBound	p-value Through a Continuous Relaxation
makeStratObj	Making a strat.elec.data Object from an elec.data Object
MN_Senate_2006	2006 Minnesota U.S. Senate Race
MN_Senate_2006.strat	2006 Minnesota U.S. Senate Race
next.r	Obtain a Vector of Sample Sizes with Total Number of Samples Fixed
optStrat	Obtain an Optimal Vector of Sample Sizes Given Constraint on p-Value
propSizes	Obtain a Vector of Sample Sizes with Total Number of Samples Fixed
runBaB	Calling the Branch and Bound Algorithm
strat.elec.data	Making a strat.elec.data Object from a Votes data.frame and an Audit data.frame
withReplaceBound	p-value Through Relaxation on Number of Batches Without Difference