MIWilson: Implementing the MI-Wilson Confidence Interval

Implements the Wilson confidence interval for binomial proportions given multiple imputations of missing data (detailed theory provided in "Wilson Confidence Intervals for Binomial Proportions With Multiple Imputation for Missing Data" (A. Lott & J. Reiter, 2018)). Our package also implements a Wald confidence interval and allows for both MIDs object and proportion vector arguments.

Version: 1.0.0
Imports: dplyr, magrittr, mice, stats
Suggests: rmarkdown, knitr, testthat (≥ 3.0.0)
Published: 2021-08-23
Author: Frances Hung [aut, cre]
Maintainer: Frances Hung <wyfhung at gmail.com>
BugReports: https://github.com/hungf8342/MIWilson/issues
License: MIT + file LICENSE
URL: https://github.com/hungf8342/MIWilson
NeedsCompilation: no
Materials: README
CRAN checks: MIWilson results


Reference manual: MIWilson.pdf
Vignettes: Simulations of Wilson vs. Wald CI Intervals


Package source: MIWilson_1.0.0.tar.gz
Windows binaries: r-devel: MIWilson_1.0.0.zip, r-release: MIWilson_1.0.0.zip, r-oldrel: MIWilson_1.0.0.zip
macOS binaries: r-release (arm64): MIWilson_1.0.0.tgz, r-oldrel (arm64): MIWilson_1.0.0.tgz, r-release (x86_64): MIWilson_1.0.0.tgz, r-oldrel (x86_64): MIWilson_1.0.0.tgz


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