FixRiskyIntervals {GaussSuppression}

New primary cells to fix risky intervals

Description

Indices to new primary cells are returned

Usage

FixRiskyIntervals(
  x,
  z,
  primary,
  suppressed,
  candidates = NULL,
  minVal = NULL,
  lpPackage = "lpSolve",
  gaussI = FALSE,
  allInt = FALSE,
  sparseConstraints = TRUE,
  rangeLimits
)

Arguments

x

ModelMatrix, as output from SSBtools::ModelMatrix

z

numerical vector with length ncol(x). Corresponds to table cell values

primary

Vector indicating primary suppressed cells. Can be logical or integer. If integer vector, indicates the columns of x which are considered primary suppressed.

suppressed

Vector indicating all suppressed cells. Can be logical or integer. If integer vector, indicates the columns of x which are considered suppressed.

candidates

candidates as indices

minVal

a known minimum value for table cells. Default NULL. Note that 'minVal' is interpreted as the limiting value for all suppressed cells. Specifying 'minVal=0' would be redundant, as a minimum value of 0 is anyway assumed for inner cells (see details).

lpPackage

The name of the package used to solve linear programs. Currently, 'lpSolve' (default), 'Rsymphony', 'Rglpk' and 'highs' are supported.

gaussI

Boolean vector. If TRUE (default), GaussIndependent is used to reduce size of linear program.

allInt

Integer variables when TRUE. See all.int parameter in lpSolve and types parameter in Rsymphony and Rglpk.

sparseConstraints

When TRUE, a sparse constraint matrix will be input to the solver. In the case of lpSolve, the sparse matrix is represented in triplet form as a dense matrix with three columns, and the dense.const parameter is utilized.

rangeLimits

As computed by RangeLimitsDefault

Details

Code in this function started from a copy of ComputeIntervals