hrbrmstr/scimple: Tidy Simultaneous Confidence Intervals for Multinomial Proportions

Methods for obtaining simultaneous confidence intervals for multinomial proportions have been proposed by many authors and the present study include a variety of widely applicable procedures. Seven classical methods (Wilson, Quesenberry and Hurst, Goodman, Wald with and without continuity correction, Fitzpatrick and Scott, Sison and Glaz) and Bayesian Dirichlet models are included in the package. The advantage of MCMC pack has been exploited to derive the Dirichlet posterior directly and this also helps in handling the Dirichlet prior parameters. This package is prepared to have equal and unequal values for the Dirichlet prior distribution that will provide better scope for data analysis and associated sensitivity analysis.

Getting started

Package details

MaintainerBob Rudis <[email protected]>
LicenseGPL-2
Version0.1.0
URL https://github.com/hrbrmstr/scimple
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("hrbrmstr/scimple")
hrbrmstr/scimple documentation built on May 16, 2017, 11:21 p.m.