Package: tscount
Type: Package
Title: Analysis of Count Time Series
Version: 1.4.4
Date: 2023-05-10
Authors@R: c(
  person("Tobias", "Liboschik", role=c("aut", "cre"), email="liboschik@statistik.tu-dortmund.de"),
  person("Roland", "Fried", role=c("aut"), email="fried@statistik.tu-dortmund.de"),
  person("Konstantinos", "Fokianos", role=c("aut"), email="fokianos@ucy.ac.cy"),
  person("Philipp", "Probst", role=c("aut"), email="philipp.probst@tu-dortmund.de"),
  person("Jonathan", "Rathjens", role=c("ctb"), email="jonathan.rathjens@tu-dortmund.de"),
  person("Nicolò", "Rubattu", role=c("ctb"), email="nicolo.rubattu@idsia.ch"))
Description: Likelihood-based methods for model fitting and assessment,
        prediction and intervention analysis of count time series
        following generalized linear models are provided, see Liboschik
        et al. (2017) <doi:10.18637/jss.v082.i05>. Models with the
        identity and with the logarithmic link function are allowed.
        The conditional distribution can be Poisson or Negative
        Binomial.
Imports: parallel, ltsa
Suggests: Matrix, xtable, gamlss.data, surveillance
License: GPL-2 | GPL-3
URL: http://tscount.r-forge.r-project.org
ByteCompile: true
NeedsCompilation: no
LazyData: true
Encoding: UTF-8
Repository: https://r-forge.r-universe.dev
Date/Publication: 2023-05-10 12:56:11 UTC
RemoteUrl: https://github.com/r-forge/tscount
RemoteRef: HEAD
RemoteSha: d4774dc5aa905ab969bf5d51faafaf51c0a3a431
RemoteSubdir: pkg
Packaged: 2026-06-09 10:36:03 UTC; root
Author: Tobias Liboschik [aut, cre],
  Roland Fried [aut],
  Konstantinos Fokianos [aut],
  Philipp Probst [aut],
  Jonathan Rathjens [ctb],
  Nicolò Rubattu [ctb]
Maintainer: Tobias Liboschik <liboschik@statistik.tu-dortmund.de>