bonorico/gcipdr: Gaussian Copula (based) Individual Person Data (IPD) Reconstruction

The proposed Gaussian Copula technique generates pseudodata replacing IPD, using simple summaries, like IPD empirical marginal moments and correlation matrix, as only input data. In contexts where IPD is not available, pseudodata is a mean to compute approximate IPD inferences. The approach has applications in statistical disclosure control, distributed computing (e.g. see DataShield -- see https://cran.datashield.org/), and, ideally research synthesis or reproduction.

Getting started

Package details

AuthorFederico Bonofiglio
MaintainerFederico Bonofiglio <bono@imbi.uni-freiburg.de>
LicenseGPL (>= 3)
Version0.0
URL https://github.com/bonorico/gcipdr
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("bonorico/gcipdr")
bonorico/gcipdr documentation built on May 2, 2021, 8:12 p.m.