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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