Construct primary suppressed difference matrix — KDisclosurePrimary • GaussSuppression

Function for constructing model matrix columns representing primary suppressed difference cells

Usage

KDisclosurePrimary(
  data,
  x,
  crossTable,
  freqVar,
  mc_hierarchies = NULL,
  coalition = 1,
  upper_bound = Inf,
  ...
)

data: a data.frame representing the data set
x: ModelMatrix generated by parent function
crossTable: crossTable generated by parent function
freqVar: name of the frequency variable in data
mc_hierarchies: a hierarchy representing meaningful combinations to be protected. Default value is NULL.
coalition: numeric vector of length one, representing possible size of an attacking coalition. This parameter corresponds to the parameter k in the definition of k-disclosure.
upper_bound: numeric value representing minimum count considered safe. Default set to Inf
...: parameters passed to children functions

dgCMatrix corresponding to primary suppressed cells

Daniel P. Lupp