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smcfcs: Multiple Imputation of Covariates by Substantive ModelCompatible Fully Conditional Specification

Implements multiple imputation of missing covariates by Substantive Model Compatible Fully Conditional Specification. This is a modification of the popular FCS/chained equations multiple imputation approach, and allows imputation of missing covariate values from models which are compatible with the user specified substantive model.

Version:2.0.1
Depends:R (≥ 3.1.2)
Imports:MASS,survival,VGAM, stats,rlang,checkmate,abind,brglm2
Suggests:knitr,rmarkdown,mitools,ggplot2,kmi,flexsurv,stringr
Published:2025-07-17
DOI:10.32614/CRAN.package.smcfcs
Author:Jonathan Bartlett [aut, cre], Ruth Keogh [aut], Edouard F. Bonneville [aut], Lars van der Burg [aut], Claus Thorn Ekstrøm [ctb]
Maintainer:Jonathan Bartlett <jonathan.bartlett1 at lshtm.ac.uk>
License:GPL-3
URL:https://github.com/jwb133/smcfcs
NeedsCompilation:no
Materials:README
In views:MissingData
CRAN checks:smcfcs results

Documentation:

Reference manual:smcfcs.html ,smcfcs.pdf
Vignettes:coarsening (source,R code)
smcfcs_measerror (source,R code)
smcfcs (source,R code)

Downloads:

Package source: smcfcs_2.0.1.tar.gz
Windows binaries: r-devel:smcfcs_2.0.1.zip, r-release:smcfcs_2.0.1.zip, r-oldrel:smcfcs_2.0.1.zip
macOS binaries: r-release (arm64):smcfcs_2.0.1.tgz, r-oldrel (arm64):smcfcs_2.0.1.tgz, r-release (x86_64):smcfcs_2.0.1.tgz, r-oldrel (x86_64):smcfcs_2.0.1.tgz
Old sources: smcfcs archive

Reverse dependencies:

Reverse imports:bootImpute
Reverse suggests:Publish,riskRegression
Reverse enhances:mdmb

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=smcfcsto link to this page.


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