RegSDCnew: Regression-based SDC Tools - Scores from new data

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

Regression-based SDC Tools - Scores from new data

Description

Implementation of equation 12 in the paper.

Usage

RegSDCnew(y, yNew, x = NULL, doSVD = FALSE, ensureIntercept = TRUE)

Arguments

y	Matrix of confidential variables
yNew	Matrix of y-data for new scores
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 and yNew. 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)
RegSDCnew(y, matrix(rnorm(15), 5, 3), x)

# Close to y
RegSDCnew(y, y + 0.001 * matrix(rnorm(15), 5, 3), x)

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