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.html ,autoMrP.pdf |
| Vignettes: | autoMrP: Multilevel Models and Post-Stratification (MrP) Combined with Machine Learning in R (source) |
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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