Multiple Imputation of Covariates by Substantive Model Compatible Fully Conditional Specification R package smcfcs version 2.0.2 CRAN Task View: MissingData (https://CRAN.R-project.org/view=MissingData) 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. Software Depends: R (>= 3.1.2) Imports: MASS, survival, VGAM, stats, rlang, checkmate, abind, brglm2 Suggests: knitr, rmarkdown, mitools, ggplot2, kmi, flexsurv, stringr Jonathan Bartlett <jonathan.bartlett1@lshtm.ac.uk> Comprehensive R Archive Network (CRAN) Jonathan Bartlett [aut, cre], Ruth Keogh [aut], Edouard F. Bonneville [aut], Lars van der Burg [aut], Claus Thorn Ekstrøm [ctb] GPL-3 2026-05-01 application/tgz https://CRAN.R-project.org/package=smcfcs doi:10.32614/CRAN.package.smcfcs