The R package PSinference provides inference procedures including the generalized variance, the sphericity test, the test for independence between two subsets of variables, and the test for the regression of one set of variables on the other, when considering the singly imputed synthetic data generated via plug-in sampling under the multivariate normal model. For more details see Klein et al. (2021)
This work is funded by national funds through the FCT - Fundação para a Ciência e a Tecnologia, I.P., under the scope of the projects UIDB/00297/2020 and UIDP/00297/2020 (Center for Mathematics and Applications)“.
You can install the stable version from CRAN.
install.packages('PSinference', dependencies = TRUE)You can install the development version from Github
# install.packages("remotes")
remotes::install_github("ricardomourarpm/PSinference")PSinference in publications use:Moura R, Norouzirad M, Augusto V, Fonseca M (2024). PSinference: Inference for Released Plug-in Sampling Single Synthetic Dataset. R package version 0.2.1, https://cran.r-project.org/package=PSinference.
A BibTeX entry for LaTeX users is
@Manual{PSinference, title = {PSinference: Inference for Released Plug-in Sampling Single Synthetic Dataset}, author = {Ricardo Moura and Mina Norouzirad and Vítor Augusto and Miguel Fonseca}, year = {2024}, note = {R package version 0.2.1}, url = {https://cran.r-project.org/package=PSinference} }
This package is free and open source software, licensed under GPL-3.