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smdi  

Perform Structural Missing Data Investigations
View on CRAN: Click here


Download and install smdi package within the R console
Install from CRAN:
install.packages("smdi")

Install from Github:
library("remotes")
install_github("cran/smdi")

Install by package version:
library("remotes")
install_version("smdi", "0.3.1")



Attach the package and use:
library("smdi")
Maintained by
Janick Weberpals
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-07-17
Latest Update: 2023-07-17
Description:
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."
How to cite:
Janick Weberpals (2023). smdi: Perform Structural Missing Data Investigations. R package version 0.3.1, https://cran.r-project.org/web/packages/smdi. Accessed 07 Nov. 2024.
Previous versions and publish date:
0.2.2 (2023-07-17 16:20), 0.3.0 (2024-07-25 14:00)
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