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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 <doi:10.48550/arXiv.2106.06835>.
| Version: | 0.1.0 |
| Depends: | R (≥ 3.6.0) |
| Imports: | mice, magrittr, dplyr, StackImpute, arm, boot, broom, mvtnorm, randomForest, MASS, knitr |
| Suggests: | markdown |
| Published: | 2022-05-25 |
| DOI: | 10.32614/CRAN.package.SynDI |
| Author: | Tian Gu [aut], Jeremy M.G. Taylor [aut], Bhramar Mukherjee [aut], Michael Kleinsasser [cre] |
| Maintainer: | Michael Kleinsasser <mkleinsa at umich.edu> |
| BugReports: | https://github.com/umich-biostatistics/SynDI/issues |
| License: | GPL-2 |
| URL: | https://github.com/umich-biostatistics/SynDI |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | SynDI results |
| Reference manual: | SynDI.pdf |
| Vignettes: |
SynDI Example 1: Binary Response SynDI Example 2: Continuous Response |
| Package source: | SynDI_0.1.0.tar.gz |
| Windows binaries: | r-devel: SynDI_0.1.0.zip, r-release: SynDI_0.1.0.zip, r-oldrel: SynDI_0.1.0.zip |
| macOS binaries: | r-release (arm64): SynDI_0.1.0.tgz, r-oldrel (arm64): SynDI_0.1.0.tgz, r-release (x86_64): SynDI_0.1.0.tgz, r-oldrel (x86_64): SynDI_0.1.0.tgz |
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