Multiple Imputation of Covariates by Substantive Model Compatible 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.


smcfcs is an R package implementing Substantive Model Compatibly Fully Conditional Specification Multiple Imputation. Examples and further details are given in the package documentation and vignette.

To install the latest GitHub development version, run:

install.packages("devtools")

devtools::install_github("jwb133/smcfcs")

Reference manual

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install.packages("smcfcs")

2.0.2 by Jonathan Bartlett, 6 months ago


https://github.com/jwb133/smcfcs


Report a bug at https://github.com/jwb133/smcfcs/issues


Browse source code at https://github.com/cran/smcfcs


Authors: Jonathan Bartlett [aut, cre] , Ruth Keogh [aut] , Edouard F. Bonneville [aut] , Lars van der Burg [aut] , Claus Thorn Ekstrøm [ctb]


Documentation:   PDF Manual  


GPL-3 license


Imports MASS, survival, VGAM, stats, rlang, checkmate, abind, brglm2

Suggests knitr, rmarkdown, mitools, ggplot2, kmi, flexsurv, stringr


Imported by bootImpute.

Suggested by Publish, pigauto, riskRegression.

Enhanced by mdmb.


See at CRAN