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.

AuthorJonathan Bartlett [aut, cre]
Date of publication2016-02-05 00:50:10
MaintainerJonathan Bartlett <jwb133@googlemail.com>
LicenseGPL-3
Version1.2.1
http://www.missingdata.org.uk
http://thestatsgeek.com

View on CRAN

Files

smcfcs
smcfcs/inst
smcfcs/inst/doc
smcfcs/inst/doc/smcfcs-vignette.R
smcfcs/inst/doc/smcfcs-vignette.Rmd
smcfcs/inst/doc/smcfcs-vignette.html
smcfcs/NAMESPACE
smcfcs/data
smcfcs/data/ex_coxquad.rda
smcfcs/data/ex_linquad.rda
smcfcs/data/ex_lininter.rda
smcfcs/data/ex_compet.rda
smcfcs/data/ex_poisson.rda
smcfcs/data/ex_logisticquad.rda
smcfcs/R
smcfcs/R/smcfcs.r
smcfcs/vignettes
smcfcs/vignettes/smcfcs-vignette.Rmd
smcfcs/README.md
smcfcs/MD5
smcfcs/build
smcfcs/build/vignette.rds
smcfcs/DESCRIPTION
smcfcs/man
smcfcs/man/ex_poisson.Rd smcfcs/man/ex_logisticquad.Rd smcfcs/man/smcfcs.Rd smcfcs/man/ex_coxquad.Rd smcfcs/man/ex_linquad.Rd smcfcs/man/ex_lininter.Rd smcfcs/man/ex_compet.Rd

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.