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>.

Version:	0.3.0
Depends:	R (≥ 2.10)
Imports:	broom, caret, dplyr, fastDummies, forcats, ggplot2, glue, gt, Hotelling, lifecycle, magrittr, mice, naniar, parallel, pROC, randomForest, stringr, survival, tableone, tibble, tidyr
Suggests:	broom.helpers, cardx, gridExtra, gtsummary, here, knitr, reactR, reactable, rmarkdown, simsurv, survminer, usethis, testthat (≥ 3.0.0), vdiffr
Published:	2024-07-25
DOI:	10.32614/CRAN.package.smdi
Author:	Janick Weberpals [aut, cre, cph]
Maintainer:	Janick Weberpals <janick.developer at gmail.com>
BugReports:	https://gitlab-scm.partners.org/janickweberpals/smdi/-/issues
License:	GPL (≥ 3)
URL:	https://janickweberpals.gitlab-pages.partners.org/smdi
NeedsCompilation:	no
Materials:	NEWS
CRAN checks:	smdi results

Documentation:

Reference manual:	smdi.pdf
Vignettes:	Data generation Routine structural missing data diagnostics Multivariate missingness and monotonicity NARFCS sensitivity analysis Get started with smdi

Downloads:

Package source:	smdi_0.3.0.tar.gz
Windows binaries:	r-devel: smdi_0.3.0.zip, r-release: smdi_0.3.0.zip, r-oldrel: smdi_0.3.0.zip
macOS binaries:	r-release (arm64): smdi_0.3.0.tgz, r-oldrel (arm64): smdi_0.2.2.tgz, r-release (x86_64): smdi_0.3.0.tgz, r-oldrel (x86_64): smdi_0.2.2.tgz
Old sources:	smdi archive

Linking:

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