Type: Package Package: MetaIntegration Title: Ensemble Meta-Inference Framework Version: 0.1.3 Description: An ensemble meta-inference framework to integrate multiple regression models into a current study. Gu, T., Taylor, J.M.G. and Mukherjee, B. (2021) . A meta-analysis framework along with two weighted estimators as the ensemble of empirical Bayes estimators, which combines the estimates from the different external models. The proposed framework is flexible and robust in the ways that (i) it is capable of incorporating external models that use a slightly different set of covariates; (ii) it is able to identify the most relevant external information and diminish the influence of information that is less compatible with the internal data; and (iii) it nicely balances the bias-variance trade-off while preserving the most efficiency gain. The proposed estimators are more efficient than the naive analysis of the internal data and other naive combinations of external estimators. Authors@R: c( person(given = "Tian", family = "Gu", role = c("aut"), email = "gutian@umich.edu"), person(given = "Bhramar", family = "Mukherjee", role = c("aut"), email = "bhramar@umich.edu"), person(given = "Michael", family = "Kleinsasser", role = c("cre"), email = "biostat-cran-manager@umich.edu") ) Maintainer: Michael Kleinsasser License: GPL-2 Encoding: UTF-8 Biarch: true Depends: R (>= 3.5.0) Imports: Rsolnp, corpcor, MASS, knitr URL: https://github.com/umich-biostatistics/MetaIntegration BugReports: https://github.com/umich-biostatistics/MetaIntegration/issues RoxygenNote: 7.1.1 Roxygen: list(markdown = TRUE) Repository: https://umich-biostatistics.r-universe.dev Date/Publication: 2021-09-22 14:10:52 UTC RemoteUrl: https://github.com/umich-biostatistics/metaintegration RemoteRef: HEAD RemoteSha: c7c80d84ded9ea6785b19aafce5f08b42517f284 NeedsCompilation: no Packaged: 2026-06-17 10:04:49 UTC; root Author: Tian Gu [aut], Bhramar Mukherjee [aut], Michael Kleinsasser [cre]