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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.
Health stats visible at Monitor.