DESCRIPTION

Package: smcfcs
Title: Multiple Imputation of Covariates by Substantive Model Compatible Fully
    Conditional Specification
Version: 1.9.0
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,
    kmi,
    flexsurv
VignetteBuilder: knitr
RoxygenNote: 7.3.2
Encoding: UTF-8