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 | 
| 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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