Type: Package
Package: SynDI
Title: Synthetic Data Integration
Version: 0.1.0
Authors@R: 
    c(person(given = "Tian",
             family = "Gu",
             role = c("aut"),
             email = "gutian@umich.edu"),
      person(given = "Jeremy M.G.",
             family = "Taylor",
             role = "aut"),
      person(given = "Bhramar",
             family = "Mukherjee",
             role = "aut"),
      person(given = "Michael",
             family = "Kleinsasser",
             role = "cre",
             email = "mkleinsa@umich.edu"))
Description: Regression inference for multiple populations by integrating 
    summary-level data using stacked imputations. Gu, T., Taylor, J.M.G. and 
    Mukherjee, B. (2021) A synthetic data integration framework to leverage 
    external summary-level information from heterogeneous populations 
    <arXiv:2106.06835>.
License: GPL-2
URL: https://github.com/umich-biostatistics/SynDI
BugReports: https://github.com/umich-biostatistics/SynDI/issues
Depends: R (>= 3.6.0)
Imports: mice, magrittr, dplyr, StackImpute, arm, boot, broom, mvtnorm,
        randomForest, MASS, knitr
Suggests: markdown
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.2.0
NeedsCompilation: no
Packaged: 2022-05-24 15:19:44 UTC; mk
Author: Tian Gu [aut],
  Jeremy M.G. Taylor [aut],
  Bhramar Mukherjee [aut],
  Michael Kleinsasser [cre]
Maintainer: Michael Kleinsasser <mkleinsa@umich.edu>
Repository: CRAN
Date/Publication: 2022-05-25 07:50:05 UTC
Built: R 4.6.0; ; 2026-04-30 21:55:57 UTC; unix
