In umich-biostatistics/SynDI: Synthetic Data Integration

knitr::opts_chunk$set(
  collapse = TRUE,
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R package SynDI

Synthetic Data Integration

r badger::badge_devel("umich-biostatistics/SynDI", "blue") r badger::badge_code_size("umich-biostatistics/SynDI")

Overview

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 .

Installation

If the devtools package is not yet installed, install it first:

install.packages('devtools')

# install the package from Github:
devtools::install_github('umich-biostatistics/SynDI', build_vignettes = TRUE) 

Once installed, load the package:

library(SynDI)

Example Usage

For examples, see the package vignettes:

vignette("SynDI-example-binary")
vignette("SynDI-example-continuous")

Current Suggested Citation

Gu, T., Taylor, J.M.G. and Mukherjee, B. (2021) A synthetic data integration framework to leverage external summary-level information from heterogeneous populations .

umich-biostatistics/SynDI documentation built on May 31, 2022, 10:32 a.m.