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>.

Version: 0.1.0
Imports: MASS, stats
Published: 2023-07-19
Author: Ricardo Moura ORCID iD [aut, cre], Mina Norouzirad ORCID iD [aut], Danial Mazarei ORCID iD [aut], FCT, I.P. [fnd] (under the scope of the projects UIDB/00297/2020 and UIDP/00297/2020 (NovaMath))
Maintainer: Ricardo Moura <rp.moura at fct.unl.pt>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/ricardomourarpm/PSinference
NeedsCompilation: no
Materials: NEWS
CRAN checks: PSinference results

Documentation:

Reference manual: PSinference.pdf

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Package source: PSinference_0.1.0.tar.gz
Windows binaries: r-devel: PSinference_0.1.0.zip, r-release: PSinference_0.1.0.zip, r-oldrel: PSinference_0.1.0.zip
macOS binaries: r-release (arm64): PSinference_0.1.0.tgz, r-oldrel (arm64): PSinference_0.1.0.tgz, r-release (x86_64): PSinference_0.1.0.tgz

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