smcfcs: Multiple Imputation of Covariates by Substantive Model Compatible Fully Conditional Specification (original) (raw)
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.
| Version: | 1.9.1 |
|---|---|
| Depends: | R (≥ 3.1.2) |
| Imports: | MASS, survival, VGAM, stats, rlang, checkmate, abind, brglm2 |
| Suggests: | knitr, rmarkdown, mitools, ggplot2, kmi, flexsurv |
| Published: | 2024-12-04 |
| DOI: | 10.32614/CRAN.package.smcfcs |
| Author: | Jonathan Bartlett [aut, cre], Ruth Keogh [aut], Edouard F. Bonneville [aut], Claus Thorn Ekstrøm [ctb] |
| Maintainer: | Jonathan Bartlett <jonathan.bartlett1 at lshtm.ac.uk> |
| License: | GPL-3 |
| URL: | https://github.com/jwb133/smcfcs |
| NeedsCompilation: | no |
| Materials: | README |
| In views: | MissingData |
| CRAN checks: | smcfcs results |
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