lintr (>= 3.0.0), magrittr, progress, scales, spelling,
styler, tictoc

Frankel-Wei regression and structural change tools
for estimating, testing, dating and monitoring
(de facto) exchange rate regimes.
R (>= 2.3.0), graphics, stats, zoo, sandwich, strucchange
graphics, stats, zoo, sandwich, strucchange, car

Exchange rate regression and structural change tools
for estimating, testing, dating, and monitoring
(de facto) exchange rate regimes.

Exchange rate regression and structural change tools for
estimating, testing, dating, and monitoring (de facto) exchange
rate regimes.

Achim Zeileis, Ajay Shah, Ila Patnaik, Anmol Sethy

c(person(given = "Achim", family = "Zeileis", role =
c("aut", "cre"), email = "Achim.Zeileis@R-project.org"),
person(given = "Ajay", family = "Shah", role = "ctb"),
person(given = "Ila", family = "Patnaik", role = "ctb"),
person(given = "Anmol", family = "Sethy", role = "ctb"))
R (>= 2.10.0), graphics, stats, zoo, sandwich, strucchange
Achim Zeileis [aut, cre],
Ajay Shah [ctb],
Ila Patnaik [ctb],
Anmol Sethy [ctb]

c(person(given = "Achim", family = "Zeileis", role = c("aut", "cre"), email = "Achim.Zeileis@R-project.org"),
person(given = "Ajay", family = "Shah", role = "ctb"),
person(given = "Ila", family = "Patnaik", role = "ctb"),
person(given = "Anmol", family = "Sethy", role = "ctb"))

c(person(given = "Achim", family = "Zeileis", role = c("aut", "cre"), email = "Achim.Zeileis@R-project.org",
comment = c(ORCID = "0000-0003-0918-3766")),
person(given = "Ajay", family = "Shah", role = "ctb"),
person(given = "Ila", family = "Patnaik", role = "ctb"),
person(given = "Anmol", family = "Sethy", role = "ctb"))
Achim Zeileis [aut, cre] (<https://orcid.org/0000-0003-0918-3766>),
Ajay Shah [ctb],
Ila Patnaik [ctb],
Anmol Sethy [ctb]

An R6 implementation for calculating features from grouped data.
The output will be one row for each group.
This functionality is often needed in the feature extraction process of machine learning problems.
Very large datasets are supported, since data is only read into RAM when needed.
Calculation can be done in parallel and the process can be monitored.
Global error handling is supported.
Results are available in one final dataframe.
c(person("Quay", "Au", email = "quayau@gmail.com", role = c("aut", "cre")),
person("Clemens", "Stachl", email = "clemensstachl@gmail.com", role = "ctb"),
person("Ramona", "Schoedel", email = "ramonaschoedel90@gmail.com", role = "ctb"),
person("Theresa", "Ullmann", email = "theresa_ullmann@gmx.de", role = "ctb"),
person("Andreas", "Hofheinz", email = "andreas.hofheinz@outlook.com", role = "ctb")
)
dplyr, magrittr, checkmate, utils, data.table, future,
future.apply, R6
Quay Au [aut, cre],
Clemens Stachl [ctb],
Ramona Schoedel [ctb],
Theresa Ullmann [ctb],
Andreas Hofheinz [ctb]