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 Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=SynDI to link to this page.
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4