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PSinference  

Inference for Released Plug-in Sampling Single Synthetic Dataset
View on CRAN: Click here


Download and install PSinference package within the R console
Install from CRAN:
install.packages("PSinference")

Install from Github:
library("remotes")
install_github("cran/PSinference")

Install by package version:
library("remotes")
install_version("PSinference", "0.2.2")



Attach the package and use:
library("PSinference")
Maintained by
Ricardo Moura
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-07-19
Latest Update: 2024-12-10
Description:
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) .
How to cite:
Ricardo Moura (2023). PSinference: Inference for Released Plug-in Sampling Single Synthetic Dataset. R package version 0.2.2, https://cran.r-project.org/web/packages/PSinference. Accessed 15 Mar. 2026.
Previous versions and publish date:
0.1.0 (2023-07-19 13:00), 0.2.0 (2024-09-17 19:20), 0.2.1 (2024-09-19 16:00)
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Complete documentation for PSinference
Functions, R codes and Examples using the PSinference R package
Full PSinference package functions and examples
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