Package: strucchangeRcpp
Version: 1.5-4-1.0.2-9999
Title: Testing, Monitoring, and Dating Structural Changes: C++ Version
Authors@R: c(person(given = "Dainius", family = "Masiliunas", role = c("aut", "cre"),
             email = "pastas4@gmail.com", comment = c(ORCID = "0000-0001-5654-1277")),
             person(given = "Achim", family = "Zeileis", role = c("aut"), email = "Achim.Zeileis@R-project.org",
                    comment = c(ORCID = "0000-0003-0918-3766")),
             person(given = "Marius", family = "Appel", role = "aut", email = "marius.appel@uni-muenster.de"),
             person(given = "Friedrich", family = "Leisch", role = "aut", email = "Friedrich.Leisch@R-project.org"),
             person(given = "Kurt", family = "Hornik", role = "aut", email = "Kurt.Hornik@R-project.org"),
             person(given = "Christian", family = "Kleiber", role = "aut", email = "Christian.Kleiber@unibas.ch"),
             person(given = "Andrei", family = "Mirt", role = "ctb", email = "andrei.mirt@wur.nl",
                    comment = c(ORCID = "0000-0003-3654-2090")),
             person(given = "Bruce", family = "Hansen", role = "ctb"),
             person(given = c("Edgar", "C."), family = "Merkle", role = "ctb"),
             person(given = "Nikolaus", family = "Umlauf", role = "ctb"))
Description: A fast implementation with additional experimental
        features for testing, monitoring and dating structural changes
        in (linear) regression models. 'strucchangeRcpp' features
        tests/methods from the generalized fluctuation test framework
        as well as from the F test (Chow test) framework. This includes
        methods to fit, plot and test fluctuation processes (e.g.
        cumulative/moving sum, recursive/moving estimates) and F
        statistics, respectively. These methods are described in
        Zeileis et al. (2002) <doi:10.18637/jss.v007.i02>. Finally, the
        breakpoints in regression models with structural changes can be
        estimated together with confidence intervals, and their
        magnitude as well as the model fit can be evaluated using a
        variety of statistical measures.
LazyData: yes
LinkingTo: Rcpp, RcppArmadillo
Depends: R (>= 2.10.0), zoo, sandwich
Suggests: stats4, car, dynlm, e1071, foreach, lmtest, mvtnorm, tseries,
        bfast
Imports: graphics, stats, Rcpp (>= 0.12.7), utils
License: GPL-2 | GPL-3
URL: https://github.com/bfast2/strucchangeRcpp/
BugReports: https://github.com/bfast2/strucchangeRcpp/issues
RoxygenNote: 7.1.1
Encoding: UTF-8
Repository: https://bfast2.r-universe.dev
Date/Publication: 2026-03-12 15:16:07 UTC
RemoteUrl: https://github.com/bfast2/strucchangercpp
RemoteRef: HEAD
RemoteSha: ce43aedbcb4cfd35df0b1b6c4d4e911e5c1ccf92
NeedsCompilation: yes
Packaged: 2026-06-24 12:38:08 UTC; root
Author: Dainius Masiliunas [aut, cre] (ORCID:
    <https://orcid.org/0000-0001-5654-1277>),
  Achim Zeileis [aut] (ORCID: <https://orcid.org/0000-0003-0918-3766>),
  Marius Appel [aut],
  Friedrich Leisch [aut],
  Kurt Hornik [aut],
  Christian Kleiber [aut],
  Andrei Mirt [ctb] (ORCID: <https://orcid.org/0000-0003-3654-2090>),
  Bruce Hansen [ctb],
  Edgar C. Merkle [ctb],
  Nikolaus Umlauf [ctb]
Maintainer: Dainius Masiliunas <pastas4@gmail.com>