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]
(<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] |
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 |