Homomorphic computations in R for privacy-preserving applications. Currently only the Paillier Scheme is implemented.
| Version: | 0.2-1 |
| Imports: | R6, gmp, sodium |
| Suggests: | distcomp, knitr, rmarkdown, survival |
| Published: | 2017-04-28 |
| 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_0.2-1.tar.gz |
| Windows binaries: | r-devel: homomorpheR_0.2-1.zip, r-release: homomorpheR_0.2-1.zip, r-oldrel: homomorpheR_0.2-1.zip |
| OS X El Capitan binaries: | r-release: homomorpheR_0.2-1.tgz |
| OS X Mavericks binaries: | r-oldrel: homomorpheR_0.2-1.tgz |
| Old sources: | homomorpheR archive |
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