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.

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Description file content

Package
smcfcs
Title
Multiple Imputation of Covariates by Substantive Model Compatible Fully Conditional Specification
Version
1.4.0
URL
Description
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.
Depends
R (>= 3.1.2)
License
GPL-3
LazyData
true
Imports
MASS, survival, VGAM, stats
Suggests
knitr, rmarkdown, mitools
VignetteBuilder
knitr
RoxygenNote
6.1.1
Encoding
UTF-8
NeedsCompilation
no
Packaged
2019-03-30 18:06:41 UTC; Jonathan
Author
Jonathan Bartlett [aut, cre], Ruth Keogh [aut]
Maintainer
Jonathan Bartlett
Repository
CRAN
Date/Publication
2019-03-30 18:30:03 UTC

install.packages('smcfcs')

1.4.0

2 months ago

http://www.missingdata.org.uk

Jonathan Bartlett

GPL-3

Depends on

R (>= 3.1.2)

Imports

MASS, survival, VGAM, stats

Suggests

knitr, rmarkdown, mitools

Discussions