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This package is an R wrapper of the C++ implementaton of the Blyth-Still-Casella confidence interval https://github.com/keithw/biostat.
It requires C++11 and the boost C++ library: https://www.boost.org/. The original C++ code is wrapped with an R interface using Rcpp and the boost library depedency is handled by the BH R package.
You can install the released version of rbscCI from CRAN with:
install.packages("rbscCI")
This is a basic example to find the 95% confidence interval of the probability of success when there are 25 success out of 100 coin flips:
library(rbscCI)
bscCI(100, 25, 0.95, digits = 3)
#> [1] 0.171 0.341
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