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PSinference provides exact finite-sample inferential procedures for singly and multiply released plug-in sampling (PS) synthetic datasets under a multivariate normal model. The key insight is simple: an analyst who receives \(M\) independent synthetic datasets \(V_1, \ldots, V_M\) of size \(n\) naturally treats all released data as a whole by stacking them into a single dataset of size \(Mn\). This stacking is statistically justified — the \(Mn\) rows are conditionally i.i.d. given the original data — and immediately extends the exact procedures of Klein et al. (2021) to arbitrary \(M \geq 1\) via the substitution \(n \to Mn\).
This work was supported by the Fundação para a Ciência e a Tecnologia (FCT, Portugal) under projects UID/00297/2025 and UID/PRR/00297/2025 (NOVAMath).
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")r library(PSinference) data(brittany_soil_ps)
set.seed(42) V <- simSynthData(brittany_soil_ps, M = 5)
res <- sphericity_test(V, M = 5) print(res) plot(res)
ps_test(V, M = 5, test = “independence”, part = 4L)
V1 <- simSynthData(brittany_soil_ps) ps_test(V1, M = 1, test = “sphericity”)
PSinference in publications use:Augusto V, Norouzirad M, Fonseca M, Moura R (202). PSinference: Inference for Released Plug-in Sampling Synthetic Dataset. R package version 1.0.0, https://cran.r-project.org/package=PSinference.
A BibTeX entry for LaTeX users is
@Manual{PSinference, title = {PSinference: Inference for Released Plug-in Sampling Synthetic Dataset}, author = {Vítor Augusto and Mina Norouzirad and Miguel Fonseca and Ricardo Moura}, year = {2026}, note = {R package version 1.0.0}, url = {https://cran.r-project.org/package=PSinference} }
Klein, M., Moura, R., and Sinha, B. (2021). Multivariate normal inference based on singly imputed synthetic data under plug-in sampling. Sankhya B, 83, 273–287.
This package is free and open source software, licensed under GPL-3.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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