Base mechanism class
mechanism
Name of the mechanism
name
Name of the statistic
variable
Name of the variable
varType
Variable type
varTypeOrig
Variable type at instantiation
n
Number of observations
epsilon
Differential privacy parameter
delta
Differential privacy parameter
rng
A priori estimate of the variable range(s).
rngFormat
One of 'vector' (for single rng input) or 'list' (for multiple rng inputs)
result
List with statistical output
alpha
Level of statistical signficance
accuracy
Accuracy guarantee of the estimate
bins
Bins
nBins
Number of bins
k
Number of bins desired for the release
error
Error
nBoot
Number of bootstrap replications
bootFun
Function passed to the bootstrap mechanism
imputeRng
The range from which to impute missing values
impute
Logical, impute categorical types?
formula
R formula for regression models
columns
Vector of column names
intercept
Logical, is the intercept included?
stability
Logical, use stability histogram
objective
Objective function for regression models
granularity
Granularity
percentiles
Percentiles evaluated by binary tree
treeData
Binary tree attributes needed for efficient estimation
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