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DESCRIPTION
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DESCRIPTION
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Package: smcfcs
Title: Multiple Imputation of Covariates by Substantive Model Compatible Fully
Conditional Specification
Version: 1.7.1
Authors@R: c(person("Jonathan", "Bartlett", email = "jonathan.bartlett1@lshtm.ac.uk",role = c("aut", "cre")),
person("Ruth", "Keogh", email = "ruth.keogh@lshtm.ac.uk",role = c("aut")),
person("Edouard F.", "Bonneville",role = c("aut")),
person("Claus Thorn", "Ekstrøm",role = c("ctb")))
URL: https://github.com/jwb133/smcfcs
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,
rlang,
checkmate,
abind,
brglm2
Suggests:
knitr,
rmarkdown,
mitools,
ggplot2
VignetteBuilder: knitr
RoxygenNote: 7.2.1
Encoding: UTF-8