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
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 imputationItem 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 | 08 Jul 2021 12:52 |
Publisher | The Comprehensive R Archive Network |
No files available. Please consult associated links.
- The Comprehensive R Archive Network (Online Data Resource)
- GitHub source repository (Data)
ORCID: https://orcid.org/0000-0001-6504-3253