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 gmail.com>
BugReports: https://github.com/RajeswaranV/proportion/issues
License: GPL-2
URL: https://github.com/RajeswaranV/proportion
NeedsCompilation: no
Materials: README
CRAN checks: proportion results

Downloads:

Reference manual: proportion.pdf
Package source: proportion_2.0.0.tar.gz
Windows binaries: r-devel: proportion_2.0.0.zip, r-release: proportion_2.0.0.zip, r-oldrel: proportion_2.0.0.zip
OS X El Capitan binaries: r-release: proportion_2.0.0.tgz
OS X Mavericks binaries: r-oldrel: proportion_2.0.0.tgz
Old sources: proportion archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=proportion to link to this page.