Bartlett, J and Keogh, R. 2017. smcfcs: Multiple Imputation of Covariates by Substantive Model Compatible Fully Conditional Specification. [Online]. The Comprehensive R Archive Network. Available from: https://cran.r-project.org/package=smcfcs
Bartlett, J and Keogh, R. smcfcs: Multiple Imputation of Covariates by Substantive Model Compatible Fully Conditional Specification [Internet]. The Comprehensive R Archive Network; 2017. Available from: https://cran.r-project.org/package=smcfcs
Bartlett, J and Keogh, R (2017). smcfcs: Multiple Imputation of Covariates by Substantive Model Compatible Fully Conditional Specification. [Data Collection]. The Comprehensive R Archive Network. https://cran.r-project.org/package=smcfcs
Description
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.
| Data capture method | Other |
|---|---|
| Date (Date submitted to LSHTM repository) | 3 June 2017 |
| Language(s) of written materials | English |
| Data Creators | 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 |
