Package: tscount
Type: Package
Title: Analysis of Count Time Series
Version: 1.4.3
Date: 2020-09-07
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"))
Description: Likelihood-based methods for model fitting and assessment, prediction and intervention analysis of count time series following generalized linear models are provided. 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
Packaged: 2020-09-07 20:29:11 UTC; Tobias
Author: Tobias Liboschik [aut, cre],
  Roland Fried [aut],
  Konstantinos Fokianos [aut],
  Philipp Probst [aut],
  Jonathan Rathjens [ctb]
Maintainer: Tobias Liboschik <liboschik@statistik.tu-dortmund.de>
Repository: CRAN
Date/Publication: 2020-09-08 07:00:03 UTC
Built: R 4.0.5; ; 2022-04-17 21:03:09 UTC; windows
