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:




Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.


1.6.0 by Jonathan Bartlett, 6 months ago

Browse source code at

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

Documentation:   PDF Manual  

Task views: Missing Data

GPL-3 license

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

Suggests knitr, rmarkdown, mitools, ggplot2

Imported by bootImpute.

Suggested by Publish, riskRegression.

Enhanced by mdmb.

See at CRAN