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: |
1.9.0 |
| Depends: |
R (≥ 3.1.2) |
| Imports: |
MASS, survival, VGAM, stats, rlang, checkmate, abind, brglm2 |
| Suggests: |
knitr, rmarkdown, mitools, ggplot2, kmi, flexsurv |
| Published: |
2024-11-07 |
| 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 |