PSinference: Inference for Released Plug-in Sampling Single Synthetic Dataset

Considering the singly imputed synthetic data generated via plug-in sampling under the multivariate normal model, draws 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. For more details see Klein et al. (2021) <doi:10.1007/s13571-019-00215-9>.

Getting started

Package details

AuthorRicardo Moura [aut, cre, cph] (<https://orcid.org/0000-0002-3003-9235>), Mina Norouzirad [aut] (<https://orcid.org/0000-0003-0311-6888>), Vítor Augusto [aut] (<https://orcid.org/0009-0004-9003-3558>), Miguel Fonseca [ctb] (<https://orcid.org/0000-0002-0162-8372>), FCT, I.P. [fnd] (under the scope of the projects UIDB/00297/2020 and UIDP/00297/2020 (NovaMath))
MaintainerRicardo Moura <rp.moura@fct.unl.pt>
LicenseGPL (>= 2)
Version0.2.2
URL https://github.com/ricardomourarpm/PSinference
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("PSinference")

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PSinference documentation built on April 4, 2025, 2:08 a.m.