Package: idem
Title: Inference in Randomized Controlled Trials with Death and
        Missingness
Version: 3.5
Author: Chenguang Wang [aut, cre],
    Andrew Leroux [aut, cre],
    Elizabeth Colantuoni [aut],
    Daniel O Scharfstein [aut],
    Trustees of Columbia University [cph] (tools/make_cpp.R, R/stanmodels.R)
Maintainer: Chenguang Wang <cwang68@jhmi.edu>
Description: In randomized studies involving severely ill patients, functional
    outcomes are often unobserved due to missed clinic visits, premature
    withdrawal or death. It is well known that if these unobserved functional
    outcomes are not handled properly, biased treatment comparisons can be
    produced. In this package, we implement a procedure for comparing treatments
    that is based on the composite endpoint of both the functional outcome and
    survival. The procedure was proposed in Wang et al. (2016) <doi:10.1111/biom.12594>.
    It considers missing data imputation with a sensitivity
    analysis strategy to handle the unobserved functional outcomes not due to
    death.
Depends: R (>= 3.3.0), Rcpp (>= 0.12.5), rstan (>= 2.14)
License: GPL (>= 3)
LinkingTo: StanHeaders (>= 2.11.0), rstan (>= 2.14), BH (>= 1.60.0),
        Rcpp (>= 0.11.0), RcppEigen
RcppModules: stan_fit4idem_mod
Imports: sqldf (>= 0.4), survival (>= 2.38), parallel (>= 3.2), methods
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
Suggests: knitr, shiny, rmarkdown, pander, DT, shinythemes
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2018-04-12 07:00:15 UTC; cwang68
Repository: CRAN
Date/Publication: 2018-04-12 09:46:02 UTC
Built: R 3.3.3; x86_64-w64-mingw32; 2018-04-22 17:39:51 UTC; windows
Archs: i386, x64
