proportion: Inference on Single Binomial Proportion and Bayesian Computations

Abundant statistical literature has revealed the importance of constructing and evaluating various methods for constructing confidence intervals (CI) for single binomial proportion (p). We comprehensively provide procedures in frequentist (approximate with or without adding pseudo counts or continuity correction or exact) and in Bayesian cultures. Evaluation procedures for CI warrant active computational attention and required summaries pertaining to four criterion (coverage probability, expected length, p-confidence, p-bias, and error) are implemented.

Version: 2.0.0
Depends: R (≥ 3.2.2)
Imports: TeachingDemos, ggplot2
Suggests: knitr, rmarkdown
Published: 2017-05-03
Author: M.Subbiah, V.Rajeswaran
Maintainer: Rajeswaran Viswanathan <v.rajeswaran at>
License: GPL-2
NeedsCompilation: no
Materials: README
CRAN checks: proportion results


Reference manual: proportion.pdf
Package source: proportion_2.0.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release: proportion_2.0.0.tgz, r-oldrel: proportion_2.0.0.tgz
Old sources: proportion archive


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