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RegSDC  

Information Preserving Regression-Based Tools for Statistical Disclosure Control
View on CRAN: Click here


Download and install RegSDC package within the R console
Install from CRAN:
install.packages("RegSDC")

Install from Github:
library("remotes")
install_github("cran/RegSDC")

Install by package version:
library("remotes")
install_version("RegSDC", "0.7.0")



Attach the package and use:
library("RegSDC")
Maintained by
Øyvind Langsrud
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-01-16
Latest Update: 2022-08-19
Description:
Implementation of the methods described in the paper with the above title: Langsrud, Ø. (2019) <doi:10.1007/s11222-018-9848-9>. 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.
How to cite:
Øyvind Langsrud (2019). RegSDC: Information Preserving Regression-Based Tools for Statistical Disclosure Control. R package version 0.7.0, https://cran.r-project.org/web/packages/RegSDC
Previous versions and publish date:
0.2.0 (2019-01-16 18:00), 0.3.0 (2019-02-27 18:00), 0.4.0 (2020-05-08 14:50), 0.5.0 (2021-01-21 17:30), 0.6.0 (2021-05-14 13:22)
Other packages that cited RegSDC R package
View RegSDC citation profile
Other R packages that RegSDC depends, imports, suggests or enhances
Functions, R codes and Examples using the RegSDC R package
Some associated functions: CalculateC . Cdiff . EnsureIntercept . EnsureMatrix . FindAlpha . GenQR . IpsoExtra . ReduceX . RegSDCadd . RegSDCaddGen . RegSDCcomp . RegSDCdata . RegSDCgen . RegSDChybrid . RegSDCipso . RegSDCnew . RegSDCromm . SuppressDec . Z2Yhat . 
Some associated R codes: CalculateC.R . Cdiff.R . EnsureIntercept.R . GenQR.R . RegSDCadd.R . RegSDCcomp.R . RegSDCdata.R . RegSDCgen.R . RegSDChybrid.R . SuppressDec.R .  Full RegSDC package functions and examples
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