autoMrP: 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)'' in the 'Journal of Politics'. Final pre-print version: <https://lucasleemann.files.wordpress.com/2020/07/automrp-r2pa.pdf>.

Getting started

Package details

AuthorReto Wüest [aut] (<https://orcid.org/0000-0002-7502-6489>), Lucas Leemann [aut] (<https://orcid.org/0000-0001-5201-869X>), Florian Schaffner [aut] (<https://orcid.org/0000-0003-3352-6191>), Philipp Broniecki [aut, cre] (<https://orcid.org/0000-0001-9214-4404>), Hadley Wickham [ctb]
MaintainerPhilipp Broniecki <philippbroniecki@gmail.com>
LicenseGPL-3
Version1.0.6
URL https://github.com/retowuest/autoMrP
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("autoMrP")

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autoMrP documentation built on May 29, 2024, 6:40 a.m.