proportion: Inference on Single Binomial Proportion and Bayesian Computations
Version 2.0.0

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.

Getting started

Package details

AuthorM.Subbiah, V.Rajeswaran
Date of publication2017-05-03 21:49:25 UTC
MaintainerRajeswaran Viswanathan <v.rajeswaran@gmail.com>
LicenseGPL-2
Version2.0.0
URL https://github.com/RajeswaranV/proportion
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("proportion")

Try the proportion package in your browser

Any scripts or data that you put into this service are public.

proportion documentation built on May 29, 2017, 10:31 a.m.