smdi: Perform Structural Missing Data Investigations

An easy to use implementation of routine structural missing data diagnostics with functions to visualize the proportions of missing observations, investigate missing data patterns and conduct various empirical missing data diagnostic tests. Reference: Weberpals J, Raman SR, Shaw PA, Lee H, Hammill BG, Toh S, Connolly JG, Dandreo KJ, Tian F, Liu W, Li J, Hernández-Muñoz JJ, Glynn RJ, Desai RJ. smdi: an R package to perform structural missing data investigations on partially observed confounders in real-world evidence studies. JAMIA Open. 2024 Jan 31;7(1):ooae008. <doi:10.1093/jamiaopen/ooae008>.

Package details

AuthorJanick Weberpals [aut, cre, cph] (<https://orcid.org/0000-0003-0404-7394>)
MaintainerJanick Weberpals <janick.developer@gmail.com>
LicenseGPL (>= 3)
Version0.3.1
URL https://janickweberpals.gitlab-pages.partners.org/smdi/
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("smdi")

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smdi documentation built on Oct. 6, 2024, 9:06 a.m.