Base mechanism class
mechanismName of the mechanism
nameName of the statistic
variableName of the variable
varTypeVariable type
varTypeOrigVariable type at instantiation
nNumber of observations
epsilonDifferential privacy parameter
deltaDifferential privacy parameter
rngA priori estimate of the variable range(s).
rngFormatOne of 'vector' (for single rng input) or 'list' (for multiple rng inputs)
resultList with statistical output
alphaLevel of statistical signficance
accuracyAccuracy guarantee of the estimate
binsBins
nBinsNumber of bins
kNumber of bins desired for the release
errorError
nBootNumber of bootstrap replications
bootFunFunction passed to the bootstrap mechanism
imputeRngThe range from which to impute missing values
imputeLogical, impute categorical types?
formulaR formula for regression models
columnsVector of column names
interceptLogical, is the intercept included?
stabilityLogical, use stability histogram
objectiveObjective function for regression models
granularityGranularity
percentilesPercentiles evaluated by binary tree
treeDataBinary tree attributes needed for efficient estimation
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