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
(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 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 |
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