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"))
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>.
Reto Wüest [aut] (<https://orcid.org/0000-0002-7502-6489>),
Lucas Leemann [aut] (<https://orcid.org/0000-0001-5201-869X>),
Philipp Broniecki [aut, cre] (<https://orcid.org/0000-0001-9214-4404>),
Hadley Wickham [ctb]

Performs Rasch analysis (semi-)automatically, which has been shown to be comparable with the standard Rasch analysis (Feri Wijayanto et al. (2021) <doi:10.1111/bmsp.12218>, Feri Wijayanto et al. (2022) <https://psyarxiv.com/erxuh/>).
c(person(given = "Feri",
family = "Wijayanto",
role = c("aut", "cre"),
email = "f.wijayanto@cs.ru.nl"),
person(given = "Ioan Gabriel",
family = "Bucur",
role = "aut"),
person(given = "Perry",
family = "Groot",
role = "aut"),
person(given = "Tom",
family = "Heskes",
role = "aut"),
person(given = "Karlien",
family = "Mul",
role = "ctb"),
person(given = "Baziel G.M.",
family = "van Engelen",
role = "ctb"))
testthat (>= 3.0.0), knitr, rmarkdown, markdown
Feri Wijayanto [aut, cre],
Ioan Gabriel Bucur [aut],
Perry Groot [aut],
Tom Heskes [aut],
Karlien Mul [ctb],
Baziel G.M. van Engelen [ctb]