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: | 1.3.0 |
| Depends: | R (≥ 3.1.2) |
| Imports: | MASS, survival, VGAM, stats |
| Suggests: | knitr, rmarkdown, mitools |
| Published: | 2017-06-03 |
| Author: | Jonathan Bartlett [aut, cre], Ruth Keogh [aut] |
| Maintainer: | Jonathan Bartlett <jwb133 at googlemail.com> |
| License: | GPL-3 |
| URL: | http://www.missingdata.org.uk, http://thestatsgeek.com |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | smcfcs results |
| Reference manual: | smcfcs.pdf |
| Vignettes: |
smcfcs |
| Package source: | smcfcs_1.3.0.tar.gz |
| Windows binaries: | r-devel: smcfcs_1.3.0.zip, r-release: smcfcs_1.3.0.zip, r-oldrel: smcfcs_1.3.0.zip |
| OS X El Capitan binaries: | r-release: smcfcs_1.3.0.tgz |
| OS X Mavericks binaries: | r-oldrel: smcfcs_1.3.0.tgz |
| Old sources: | smcfcs archive |
Please use the canonical form https://CRAN.R-project.org/package=smcfcs to link to this page.