Learn R Programming

⚠️There's a newer version (1.0.0) of this package.Take me there.

RegSDC (version 0.4.0)

Information Preserving Regression-Based Tools for Statistical Disclosure Control

Description

Implementation of the methods described in the paper with the above title: Langsrud, <98>. (2019) . Open view-only version at . The package can be used to generate synthetic or hybrid continuous microdata, and the relationship to the original data can be controlled in several ways. A function for replacing suppressed tabular cell frequencies with decimal numbers is included.

Copy Link

Version

Install

install.packages('RegSDC')

Monthly Downloads

469

Version

0.4.0

License

Apache License 2.0 | file LICENSE

Issues

Pull Requests

Stars

Forks

Repository

https://github.com/olangsrud/RegSDC

Maintainer

Oyvind Langsrud

Last Published

May 8th, 2020

Functions in RegSDC (0.4.0)

Regression-based SDC Tools - General data generation

Regression-based SDC Tools - Scores from new data

Regression-based SDC Tools - Ordinary synthetic data (IPSO)

Regression-based SDC Tools - Component score correlation control

Function that returns a dataset

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

Round values that are close two whole numbers

Regression-based SDC Tools - Generalized microaggregation

Suppressed tabular data: Inner cell frequencies as decimal numbers

Ensure that input is matrix (by as.matrix) and check number of rows (and columns)

Suppressed tabular data: Yhat from X and Z

CalculateCdirect

Calculation of C by solving equation 10 in the paper

Generalized QR decomposition

Regression-based SDC Tools - Synthetic addition with residual correlation control

Calculation of alpha

Extended variant of RegSDCipso

Suppressed tabular data: Reduce dummy matrix, X (and estimate Y)

EnsureIntercept

Ensure constant term in matrix

Regression-based SDC Tools - Synthetic addition

Matrix difference (a-b) including checking for equal columns