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vdra  

Vertical Distributed Regression Analysis
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("vdra", "1.0.0")



Attach the package and use:
library("vdra")
Maintained by
Thomas Kent
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-09-09
Latest Update: 2023-05-05
Description:
Implements linear, logistic, and Cox regression on vertically partitioned data across several data partners. Data is not shared between data partners or the analysis center and the computations can be considered secure. Three different protocols are implemented. 2-Party: two data partners which communicate directly without an intermediate analysis center; 2T-Party: two data partners communicate indirectly via an analysis center, and KT-Party: two or more data partners plus an analysis center are all allowed to communicate directly. 2-Party and 2^T-Party use a form of secure multiplication as found in Karr, et. al. (2009) "Privacy-Preserving Analysis of Vertically Partitioned Data Using Secure Matrix Products" and Slavkovic et. al. (2007) "Secure Logistic Regression of Horizontally and Vertically Partitioned Distributed Databases" . Full details can be found in Samizo (In preparation).
How to cite:
Thomas Kent (2021). vdra: Vertical Distributed Regression Analysis. R package version 1.0.0, https://cran.r-project.org/web/packages/vdra
Previous versions and publish date:
1.0.0 (2021-09-09 08:20)
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