CRAN/E | smdi

smdi

Perform Structural Missing Data Investigations

Installation

About

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."

janickweberpals.gitlab-pages.partners.org/smdi
Bug report File report

Key Metrics

Version 0.2.2
R ≥ 2.10
Published 2023-07-17 287 days ago
Needs compilation? no
License GPL (≥ 3)
CRAN checks smdi results

Downloads

Yesterday 10 0%
Last 7 days 62 +41%
Last 30 days 181 +3%
Last 90 days 496 -19%
Last 365 days 1.707

Maintainer

Maintainer

Janick Weberpals

jweberpals@bwh.harvard.edu

Authors

Janick Weberpals

aut / cre / cph

Material

NEWS
Reference manual
Package source

Vignettes

Data generation
Routine structural missing data diagnostics
Multivariate missingness and monotonicity
NARFCS sensitivity analysis
Get started with smdi

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-develnot available

x86_64

r-releasenot available

x86_64

r-oldrelnot available

x86_64

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