smcfcs: Multiple Imputation of Covariates by Substantive Model Compatible Fully Conditional Specification

Bartlett, J and Keogh, R

(2017). smcfcs: Multiple Imputation of Covariates by Substantive Model Compatible Fully Conditional Specification. [Dataset]. The Comprehensive R Archive Network. https://cran.r-project.org/package=smcfcs

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smcfcs is an R package that 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.

Keywords

smcfcs; Substantive Model Compatible Fully Conditional Specification; FCS; Multiple imputation

Item Type	Dataset
Resource Type	Resource Type Resource Description Software R script
Capture method	Other
Date	3 June 2017
Language(s) of written materials	English
Creator(s)	Bartlett, J and Keogh, R
LSHTM Faculty/Department	Faculty of Epidemiology and Population Health > Dept of Medical Statistics
Participating Institutions	London School of Hygiene & Tropical Medicine, London, United Kingdom
Date Deposited	07 Jun 2017 09:19
Last Modified	31 Mar 2026 09:48
Publisher	The Comprehensive R Archive Network