Improving MrP with Ensemble Learning

A tool that improves the prediction performance of multilevel regression with post-stratification (MrP) by combining a number of machine learning methods. For information on the method, please refer to Broniecki, Wüest, Leemann (2020) ''Improving Multilevel Regression with Post-Stratification Through Machine Learning (autoMrP)'' forthcoming in 'Journal of Politics'. Final pre-print version: < https://lucasleemann.files.wordpress.com/2020/07/automrp-r2pa.pdf>.


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Reference manual

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install.packages("autoMrP")

0.98 by Philipp Broniecki, 5 months ago


https://github.com/retowuest/autoMrP


Report a bug at https://github.com/retowuest/autoMrP/issues


Browse source code at https://github.com/cran/autoMrP


Authors: Reto Wüest [aut] , Lucas Leemann [aut] , Philipp Broniecki [aut, cre] , Hadley Wickham [ctb]


Documentation:   PDF Manual  


GPL-3 license


Imports rlang, dplyr, lme4, gbm, e1071, tibble, glmmLasso, EBMAforecast, foreach, doParallel, doRNG, ggplot2, knitr, tidyr, purrr

Suggests rmarkdown, R.rsp


See at CRAN