The published version may be found on CRAN and can be installed as usual.

Install this development version by cutting and pasting into your R session, which will install all dependencies also.

## Install a package if not already installed
install_if_needed <- function(packages, ...) {
    toInstall <- setdiff(packages, installed.packages()[, 1])
    if (length(toInstall) > 0) install.packages(toInstall, ...)
}
install_if_needed(c("gmp", "sodium", "devtools"), repos = "https://cloud.r-project.org")
devtools::install_github("bnaras/homomorpheR")

Four vignettes are provided:

• A quick and easy introduction to homomorphic computations,
• An example of Homomorphic Maximum Likelihood Estimation for a Poisson parameter,
• Fitting a Stratified Cox Regression model where the data is distributed across sites,
• An example of Query Count using Noncooperating parties,
• Fitting a Stratified Cox Regression model where the data is distributed across sites using Non-cooperating parties.

A related project is distcomp.

You can view everything, including documentation and vignettes on the homomorpheR website.