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autoMrP

autoMrP improves the prediction performance of multilevel regression with post-stratification (MrP) by combining a number of machine learning methods through ensemble Bayesian model averaging (EBMA). The full discussion can be found here: Broniecki, Leemann, and Wüest. 2020. “Improving Multilevel Regression with Post-Stratification Through Machine Learning (autoMrP),” forthcoming in the Journal of Politics.

Installation

To install autoMrP from GitHub run:

devtools::install_github("retowuest/autoMrP", build_vignettes = TRUE)

Please refer to the vignette for a detailed introduction to autoMrP. Access the vignette via:

utils::browseVignettes("autoMrP")

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.