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 |
|---|---|
| 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 |
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