Title: Vertical Distributed Regression Analysis
Maintainer: Thomas Kent <kentedegrees@gmail.com>
Package: vdra
Type: Package
Version: 1.0.0
Author: Thomas Kent [aut, cre],
  Yuji Samizo [aut]
Authors@R: c(person("Thomas", "Kent", email = "kentedegrees@gmail.com", 
    role = c("aut", "cre")),
    person("Yuji", "Samizo", role = "aut"))
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" <doi:10.1109/ICDMW.2007.114>.  
    Full details can be found in Samizo (In preparation).   
BugReports: https://github.com/kentedegrees/vdra/issues
License: GPL-3
NeedsCompilation: yes
Packaged: 2021-09-06 17:13:18 UTC; USER
URL:
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.6.0)
Suggests: survival (>= 3.2-7), knitr (>= 1.28), rmarkdown (>= 2.2)
VignetteBuilder: knitr
RoxygenNote: 7.1.1
Repository: CRAN
Date/Publication: 2021-09-09 06:20:02 UTC
Built: R 4.1.1; aarch64-apple-darwin20; 2021-09-09 10:38:31 UTC; unix
Archs: vdra.so.dSYM
