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
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.2.0
Config/pak/sysreqs: cmake make libicu-dev libx11-dev zlib1g-dev
Repository: https://umich-biostatistics.r-universe.dev
Date/Publication: 2022-05-24 15:18:24 UTC
RemoteUrl: https://github.com/umich-biostatistics/syndi
RemoteRef: HEAD
RemoteSha: 3a08bf51ea5d4ee30e7ae083d313bc156e6070ce
NeedsCompilation: no
Packaged: 2026-06-16 09:46:01 UTC; root
Author: Tian Gu [aut],
  Jeremy M.G. Taylor [aut],
  Bhramar Mukherjee [aut],
  Michael Kleinsasser [cre]
Maintainer: Michael Kleinsasser <mkleinsa@umich.edu>