Homomorphic computations in R for privacy-preserving applications. Currently only the Paillier Scheme is implemented.
Version: | 0.2-2 |
Imports: | R6, gmp, sodium |
Suggests: | knitr, rmarkdown, survival |
Published: | 2019-01-23 |
DOI: | 10.32614/CRAN.package.homomorpheR |
Author: | Balasubramanian Narasimhan [aut, cre] |
Maintainer: | Balasubramanian Narasimhan <naras at stat.Stanford.EDU> |
BugReports: | http://github.com/bnaras/homomorpheR/issues |
License: | MIT + file LICENSE |
URL: | http://github.com/bnaras/homomorpheR |
NeedsCompilation: | no |
Materials: | README |
CRAN checks: | homomorpheR results |
Reference manual: | homomorpheR.pdf |
Vignettes: |
Distributed Stratified Cox Regression using Homomorphic Computation MLE using Homomorphic Computation Introduction to Homomorphic Computation |
Package source: | homomorpheR_0.2-2.tar.gz |
Windows binaries: | r-devel: homomorpheR_0.2-2.zip, r-release: homomorpheR_0.2-2.zip, r-oldrel: homomorpheR_0.2-2.zip |
macOS binaries: | r-release (arm64): homomorpheR_0.2-2.tgz, r-oldrel (arm64): homomorpheR_0.2-2.tgz, r-release (x86_64): homomorpheR_0.2-2.tgz, r-oldrel (x86_64): homomorpheR_0.2-2.tgz |
Old sources: | homomorpheR archive |
Reverse imports: | distcomp |
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