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: 2.0.0 Depends: R (≥ 3.1.2) Imports: MASS, survival, VGAM, stats, rlang, checkmate, abind, brglm2 Suggests: knitr, rmarkdown, mitools, ggplot2, kmi, flexsurv, stringr Published: 2025-03-25 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: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=smcfcs to link to this page.
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