Package: strucchangeRcpp
Version: 1.5-4-1.0.1
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
NeedsCompilation: yes
Packaged: 2025-09-25 11:44:23 UTC; dainius
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>
Repository: CRAN
Date/Publication: 2025-09-26 22:20:02 UTC
Built: R 4.6.0; x86_64-w64-mingw32; 2026-03-19 03:46:26 UTC; windows
Archs: x64
