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>.
| Version: | 1.0.6 |
| Depends: | R (≥ 3.6) |
| Imports: | rlang (≥ 0.4.5), dplyr (≥ 1.0.2), lme4 (≥ 1.1), gbm (≥ 2.1.5), e1071 (≥ 1.7-3), tibble (≥ 3.0.1), glmmLasso (≥ 1.5.1), EBMAforecast (≥ 1.0.0), foreach (≥ 1.5.0), doParallel (≥ 1.0.15), doRNG (≥ 1.8.2), ggplot2 (≥ 3.3.2), knitr (≥ 1.29), tidyr (≥ 1.1.2), purrr (≥ 0.3.4), forcats (≥ 0.5.1), vglmer (≥ 1.0.3), stringr (≥ 1.5.0) |
| Suggests: | R.rsp |
| Published: | 2024-01-30 |
| DOI: | 10.32614/CRAN.package.autoMrP |
| Author: | Reto Wüest  [aut],
Lucas Leemann
[aut],
Florian Schaffner
[aut],
Philipp Broniecki
[aut, cre],
Hadley Wickham [ctb] |
| Maintainer: | Philipp Broniecki <philippbroniecki at gmail.com> |
| BugReports: | https://github.com/retowuest/autoMrP/issues |
| License: | GPL-3 |
| URL: | https://github.com/retowuest/autoMrP |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | autoMrP results |
Documentation:
| Reference manual: | autoMrP.pdf |
| Vignettes: |
autoMrP: Multilevel Models and Post-Stratification (MrP) Combined with Machine Learning in R |
Downloads:
| Package source: | autoMrP_1.0.6.tar.gz |
| Windows binaries: | r-devel: autoMrP_1.0.6.zip, r-release: autoMrP_1.0.6.zip, r-oldrel: autoMrP_1.0.6.zip |
| macOS binaries: | r-release (arm64): autoMrP_1.0.6.tgz, r-oldrel (arm64): autoMrP_1.0.6.tgz, r-release (x86_64): autoMrP_1.0.6.tgz, r-oldrel (x86_64): autoMrP_1.0.6.tgz |
| Old sources: | autoMrP archive |
Linking:
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