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: | 1.4.1 |
| Depends: | R (≥ 3.1.2) |
| Imports: | MASS, survival, VGAM, stats |
| Suggests: | knitr, rmarkdown, mitools |
| Published: | 2020-03-30 |
| Author: | Jonathan Bartlett [aut, cre], Ruth Keogh [aut], Claus Thorn Ekstrøm [ctb], Edouard Bonneville [ctb] |
| Maintainer: | Jonathan Bartlett <j.w.bartlett at bath.ac.uk> |
| License: | GPL-3 |
| URL: | http://www.missingdata.org.uk, http://thestatsgeek.com |
| NeedsCompilation: | no |
| Materials: | README |
| In views: | MissingData |
| CRAN checks: | smcfcs results |
| Reference manual: | smcfcs.pdf |
| Vignettes: |
smcfcs smcfcs_measerror |
| Package source: | smcfcs_1.4.1.tar.gz |
| Windows binaries: | r-devel: smcfcs_1.4.1.zip, r-release: smcfcs_1.4.1.zip, r-oldrel: smcfcs_1.4.1.zip |
| macOS binaries: | r-release: smcfcs_1.4.1.tgz, r-oldrel: smcfcs_1.4.1.tgz |
| Old sources: | smcfcs archive |
| Reverse imports: | bootImpute |
| Reverse suggests: | Publish, riskRegression |
| Reverse enhances: | mdmb |
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