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MetaIntegration  

Ensemble Meta-Prediction Framework
View on CRAN: Click here


Download and install MetaIntegration package within the R console
Install from CRAN:
install.packages("MetaIntegration")

Install from Github:
library("remotes")
install_github("cran/MetaIntegration")

Install by package version:
library("remotes")
install_version("MetaIntegration", "0.1.2")



Attach the package and use:
library("MetaIntegration")
Maintained by
Michael Kleinsasser
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-11-20
Latest Update: 2021-03-17
Description:
An ensemble meta-prediction framework to integrate multiple regression models into a current study. Gu, T., Taylor, J.M.G. and Mukherjee, B. (2020) . 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.
How to cite:
Michael Kleinsasser (2020). MetaIntegration: Ensemble Meta-Prediction Framework. R package version 0.1.2, https://cran.r-project.org/web/packages/MetaIntegration. Accessed 29 Sep. 2026.
Previous versions and publish date:
0.1.1 (2020-11-20 10:40), (2026-07-09 08:10)
Other packages that cited MetaIntegration R package
View MetaIntegration citation profile
Other R packages that MetaIntegration depends, imports, suggests or enhances
Complete documentation for MetaIntegration
Functions, R codes and Examples using the MetaIntegration R package
Some associated functions: asympVar_LinReg . asympVar_LogReg . expit . fxnCC_LinReg . fxnCC_LogReg . get_OCW . get_SCLearner . get_gamma_EB . get_var_EB . 
Some associated R codes: Rpackage_Tian.R .  Full MetaIntegration package functions and examples
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