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.


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install.packages("MIWilson")

1.0.0 by Frances Hung, a month ago


https://github.com/hungf8342/MIWilson


Report a bug at https://github.com/hungf8342/MIWilson/issues


Browse source code at https://github.com/cran/MIWilson


Authors: Frances Hung [aut, cre]


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports dplyr, magrittr, mice, stats

Suggests rmarkdown, knitr, testthat


See at CRAN