c(
person("M.", "Binois", role = c("cre", "aut", "trl"), comment = "R port", email = "mbinois@mcs.anl.gov"),
person("A.", "Carpentier", role = "aut", comment = "Matlab original"),
person("J.-B.", "Grill", role = "aut", comment = "Python original"),
person("R.", "Munos", role = "aut", comment = "Python and Matlab original"),
person("M.", "Valko", role = c("aut", "ctb"), comment = "Python and Matlab original"))

c(
person("M.", "Binois", role = c("cre", "aut", "trl"), comment = "R port", email = "mickael.binois@inria.fr"),
person("A.", "Carpentier", role = "aut", comment = "Matlab original"),
person("J.-B.", "Grill", role = "aut", comment = "Python original"),
person("R.", "Munos", role = "aut", comment = "Python and Matlab original"),
person("M.", "Valko", role = c("aut", "ctb"), comment = "Python and Matlab original"))

person(given = "Tyler J.",
family = "Pike",
role = c("aut", "cre"),
email = "tjpike7@gmail.com")
A comprehensive and cohesive API for the out-of-sample forecasting workflow:
data preparation, forecasting - including both traditional econometric time series models and
modern machine learning techniques - forecast combination, model and error analysis, and
forecast visualization.
caret, dplyr, forecast, furrr, future, ggplot2, glmnet,
imputeTS, lmtest, lubridate, magrittr, purrr, sandwich, stats,
tidyr, vars, xts, zoo

The Online Principal Component Estimation Method
c(person("Chunjie", "Wei",role = c("aut", "cre"),
email = "wcj1236@163.com",
comment =  c(ORCID = " ")),
person("Guangbao", "Guo", role="aut"))
The online principal component method can process the online data set. The philosophy of the package is described in Guo G. (2018) <doi:10.1080/10485252.2018.1531130>.
Chunjie Wei [aut, cre],
Guangbao Guo [aut]

Petr Simecek <simecek@gmail.com>,
Juergen Pilz <juergen.pilz@aau.at>,
Mingui Wang <mail.mwang@gmail.com>,
Albrecht Gebhardt <albrecht.gebhardt@aau.at>.
Several function related to Experimental Design are implemented here, see
"Optimal Experimental Design with R" by Rasch D. et. al (ISBN 9781439816974).
mvtnorm, orthopolynom, nlme, crossdes, polynom