DESCRIPTION

Package: autoMrP
Type: Package
Title: Improving MrP with Ensemble Learning
Version: 0.99
Authors@R: c(
    person(given = "Reto",
		   family = "Wüest",
		   role = c("aut"),
		   email = "wuest.reto@gmail.com",
		   comment = c(ORCID = "0000-0002-7502-6489")),
    person(given = "Lucas",
	       family = "Leemann",
		   role = c("aut"),
		   email = "leemann@ipz.uzh.ch",
		   comment = c(ORCID = "0000-0001-5201-869X")),
	person(given = "Philipp",
	       family = "Broniecki",
		   role = c("aut", "cre"),
		   email = "philippbroniecki@gmail.com",
		   comment = c(ORCID = "0000-0001-9214-4404")),
	person(given = "Hadley",
		   family = "Wickham",
		   role = "ctb",
		   email = "hadley@rstudio.com"))
Description: 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)'' forthcoming in 
	'Journal of Politics'. Final pre-print version: 
	<https://lucasleemann.files.wordpress.com/2020/07/automrp-r2pa.pdf>.
URL: https://github.com/retowuest/autoMrP
BugReports: https://github.com/retowuest/autoMrP/issues
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)
Suggests: rmarkdown, R.rsp
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.2
VignetteBuilder: R.rsp