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README.md
In autoMrP: Improving MrP with Ensemble Learning
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")
Try the autoMrP package in your browser
Any scripts or data that you put into this service are public.
autoMrP documentation built on Aug. 17, 2023, 5:07 p.m.
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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")
Try the autoMrP package in your browser
Any scripts or data that you put into this service are public.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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