R: Collection of Functions for Statistical Election Audits

# Collection of Functions for Statistical Election Audits

## Documentation for package ‘elec’ version 0.1.2.2

- DESCRIPTION file.

## Help Pages

elec-package | Statistical Election Audits Package
audit.plan | Audit Plans for CAST and Trinomial Methods
audit.totals.to.OS | Converting total vote counts to Over Statements
AuditErrors | Functions that Compute Error Levels Given Audit Data
calc.overstatement.e_p | Functions that Compute Error Levels Given Audit Data
calc.pairwise.e_p | Functions that Compute Error Levels Given Audit Data
CAST.audit | Given audit data, compute p.values and all that.
CAST.calc.opt.cut | Calculate Optimal CAST plan
CAST.calc.sample | Construct a sample for auditing using CAST
CAST.sample | Sample from the various strata according to the schedule set by 'ns'. Ignore all precincts that are known (i.e., have been previously audited).
compute.audit.errors | Calculate the measured error in each of the audited precicnts.
compute.stark.t | compute.stark.t
countVotes | countVotes
do.audit | do.audit
elec | Statistical Election Audits Package
elec.data | core election audit data structure
find.q | find.q
find.stark.SRS.p | find.stark.SRS.p
find.stratification | find.stratification
fractionOfVotesBound | Fraction of votes bound
is.audit.plan | Audit Plans for CAST and Trinomial Methods
is.audit.plan.tri | Audit Plans for CAST and Trinomial Methods
is.elec.data | Check if object is elec.data object
KM.audit | KM Audit Calculator
KM.calc.sample | Calculate sample size for KM-audit.
make.audit | Make a fake audit given specified error for simulations
make.audit.from.Z | Make a fake audit given specified error for simulations
make.cartoon | Make the cartoon example from the CAST paper as a voter data matrix.
make.ok.truth | Make baseline truth for simulations
make.opt.packed.bad | make.truth.opt.bad
make.random.truth | making fake truth for electios
make.sample | Generate fake election results for simulation studies
make.sample.from.totals | Make sample from vote totals (for simulations)
make.truth | Make baseline truth for simulations
make.truth.ex.bad | Make baseline truth for simulations
make.truth.opt.bad | Make baseline truth for simulations
make.truth.opt.bad.strat | Make baseline truth for simulations
marin | Marin Measure B Reported Results
maximumMarginBound | Election Audit Error Bound Functions
opt.sample.size | KM Audit Sample Size Calc
print.audit.plan | Audit Plans for CAST and Trinomial Methods
print.audit.plan.KM | Pretty print KM audit plan
print.audit.plan.tri | Audit Plans for CAST and Trinomial Methods
print.elec.data | core election audit data structure
santa.cruz | Santa Cruz Election Data
santa.cruz.audit | Santa Cruz Election Data
sim.race | Simulate CAST audits to assess performance
simulateIt | simulate KM audits
stark.test | Workhorse driver for stark.test
stark.test.Z | Workhorse driver for stark.test
tri.audit.sim | tri.audit.sim
tri.calc.sample | Calculate needed sample size for election auditing using the Trinomial Bound
tri.sample | Sample from List of Precincts PPEB
tri.sample.stats | Utility function for tri.sample
trinomial.audit | Conduct trinomial audit
trinomial.bound | Auditing with the Trinomial Bound: trinomial.bound and trinomial.audit
truth.looker | Looking at fake "truths" for election simulations
weight.function | weight functions
yolo | Yolo County, CA Election Data