RegSDCromm: Regression-based SDC Tools - Random orthogonal matrix masking...

In RegSDC: Information Preserving Regression-Based Tools for Statistical Disclosure Control

Regression-based SDC Tools - Random orthogonal matrix masking (ROMM)

Description

Implementation based on equations 11, 12 and 17 in the paper.

Usage

RegSDCromm(y, lambda = Inf, x = NULL, doSVD = FALSE, ensureIntercept = TRUE)

Arguments

y	Matrix of confidential variables
lambda	ROMM parameter
x	Matrix of non-confidential variables
doSVD	SVD when TRUE and QR when FALSE
ensureIntercept	Whether to ensure/include a constant term. Non-NULL x is subjected to EnsureIntercept

Details

doSVD has effect on decomposition of y. The exact behaviour of the method depends on the choice of the decomposition method because of the sequentially phenomenon mentioned in the paper. The similarity to the original data will tend to be highest for the first component. Input matrices are subjected to EnsureMatrix.

Value

Generated version of y

Author(s)

Øyvind Langsrud

Examples

x <- matrix(1:5, 5, 1)
y <- matrix(rnorm(15) + 1:15, 5, 3)

# Same as IPSO (RegSDCipso)
RegSDCromm(y, Inf, x)

# Close to IPSO
RegSDCromm(y, 100, x)

# Close to y
RegSDCromm(y, 0.001, x)

RegSDC documentation built on Aug. 19, 2022, 9:08 a.m.