smcfcs: Multiple Imputation of Covariates by Substantive Model Compatible Fully Conditional Specification

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: 1.3.1
Depends: R (≥ 3.1.2)
Imports: MASS, survival, VGAM, stats
Suggests: knitr, rmarkdown, mitools
Published: 2018-10-10
Author: Jonathan Bartlett [aut, cre], Ruth Keogh [aut]
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

Downloads:

Reference manual: smcfcs.pdf
Vignettes: smcfcs
Package source: smcfcs_1.3.1.tar.gz
Windows binaries: r-devel: smcfcs_1.3.1.zip, r-release: smcfcs_1.3.1.zip, r-oldrel: smcfcs_1.3.1.zip
OS X binaries: r-release: smcfcs_1.3.1.tgz, r-oldrel: smcfcs_1.3.1.tgz
Old sources: smcfcs archive

Reverse dependencies:

Reverse suggests: Publish

Linking:

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