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R package SynDI

Synthetic Data Integration

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 <arXiv:2106.06835>.

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 <arXiv:2106.06835>.

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Install

install.packages('SynDI')

Monthly Downloads

170

Version

0.1.0

License

GPL-2

Issues

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Maintainer

Michael Kleinsasser

Last Published

May 25th, 2022

Functions in SynDI (0.1.0)

%>%

Pipe operator
Initial.estimates

Internal estimation
expit

Expit function
Resample.gamma.continuousY

Resample for bootstrap variance continuous Y
Resample.gamma.binaryY

Resample for bootstrap variance for binary Y
Create.Synthetic

Create the synthetic data
create_synthetic_example

Example data for Create.Synthetic()
initial_estimates_example

Example data for Initial.estimates()