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, Russo M, Hammil BG, Toh D, Connolly JG, Dandreo KJ, Tian F, Liu W, Li Jie, Hernandez-Munos JJ, Glynn RJ, Desai RJ (2023, in submission). "A Principled Approach to Characterize and Analyze Partially Observed Confounder Data From Electronic Health Records: A Plasmode Simulation Study."

Version: 0.2.2
Depends: R (≥ 2.10)
Imports: broom, dplyr, fastDummies, forcats, ggplot2, glue, gt, Hotelling, lifecycle, magrittr, methods, mice, naniar, parallel, pROC, randomForest, stringr, survival, tableone, tibble, tidyr, tidyselect
Suggests: gridExtra, gtsummary, here, knitr, reactR, reactable, rmarkdown, simsurv, survminer, usethis, testthat (≥ 3.0.0), vdiffr
Published: 2023-07-17
Author: Janick Weberpals ORCID iD [aut, cre, cph]
Maintainer: Janick Weberpals <jweberpals at>
License: GPL (≥ 3)
NeedsCompilation: no
Materials: NEWS
CRAN checks: smdi results


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


Package source: smdi_0.2.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): smdi_0.2.2.tgz, r-oldrel (arm64): smdi_0.2.2.tgz, r-release (x86_64): smdi_0.2.2.tgz, r-oldrel (x86_64): smdi_0.2.2.tgz


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