Package: smcfcs
Title: Multiple Imputation of Covariates by Substantive Model
        Compatible Fully Conditional Specification
Version: 1.3.0
Authors@R: c(person("Jonathan", "Bartlett", email = "jwb133@googlemail.com",role = c("aut", "cre")),
    person("Ruth", "Keogh", email = "ruth.keogh@lshtm.ac.uk",role = c("aut")))
URL: http://www.missingdata.org.uk, http://thestatsgeek.com
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: 6.0.1
NeedsCompilation: no
Packaged: 2017-06-02 23:11:27 UTC; JWB-beast
Author: Jonathan Bartlett [aut, cre],
  Ruth Keogh [aut]
Maintainer: Jonathan Bartlett <jwb133@googlemail.com>
Repository: CRAN
Date/Publication: 2017-06-03 06:27:29 UTC
Built: R 3.3.3; ; 2018-04-22 16:26:47 UTC; windows
