CRAN/E | autoMrP

autoMrP

Improving MrP with Ensemble Learning

Installation

About

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: .

github.com/retowuest/autoMrP
Bug report File report

Key Metrics

Version 1.0.6
R ≥ 3.6
Published 2024-01-30 86 days ago
Needs compilation? no
License GPL-3
CRAN checks autoMrP results

Downloads

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Maintainer

Maintainer

Philipp Broniecki

philippbroniecki@gmail.com

Authors

Reto Wüest

aut

Lucas Leemann

aut

Florian Schaffner

aut

Philipp Broniecki

aut / cre

Hadley Wickham

ctb

Material

README
NEWS
Reference manual
Package source

Vignettes

autoMrP: Multilevel Models and Post-Stratification (MrP) Combined with Machine Learning in R

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

autoMrP archive

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