Other packages > Find by keyword >

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 14 Jun. 2026.
Previous versions and publish date:
0.1.1 (2020-11-20 10:40)
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
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

fourPNO  
Bayesian 4 Parameter Item Response Model
Estimate Barton & Lord's (1981) four parameter IRT model w ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
ProcMod  
Informative Procrustean Matrix Correlation
Estimates corrected Procrustean correlation between matrices for removing overfitting effect. Coissa ...
Download / Learn more Package Citations See dependency  
rpymat  
Easy to Configure an Isolated 'Python' Environment
Aims to create a single isolated 'Miniconda' and 'Python' environment for reproducible pipeline scr ...
Download / Learn more Package Citations See dependency  
manipulate  
Interactive Plots for RStudio
Interactive plotting functions for use within RStudio.The manipulate function accepts a plot ...
Download / Learn more Package Citations See dependency  
MGBT  
Multiple Grubbs-Beck Low-Outlier Test
Compute the multiple Grubbs-Beck low-outlier test on positively distributed data and utilities for ...
Download / Learn more Package Citations See dependency  

27,457

R Packages

233,548

Dependencies

73,054

Author Associations

27,205

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA