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
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	08 Jul 2021 12:52
Publisher	The Comprehensive R Archive Network