tscount: Analysis of Count Time Series

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.

Version: 1.0.0
Imports: parallel, ltsa
Suggests: Matrix, xtable, gamlss.data
Published: 2015-02-11
Author: Tobias Liboschik [aut, cre], Roland Fried [aut], Konstantinos Fokianos [aut], Philipp Probst [aut], Jonathan Rathjens [ctb]
Maintainer: Tobias Liboschik <liboschik at statistik.tu-dortmund.de>
License: GPL-2 | GPL-3
URL: http://tscount.r-forge.r-project.org
NeedsCompilation: no
In views: TimeSeries
CRAN checks: tscount results


Reference manual: tscount.pdf
Vignettes: tscount: An R Package for Analysis of Count Time Series Following Generalized Linear Models
Package source: tscount_1.0.0.tar.gz
Windows binaries: r-devel: tscount_1.0.0.zip, r-release: tscount_1.0.0.zip, r-oldrel: tscount_1.0.0.zip
OS X Snow Leopard binaries: r-release: tscount_1.0.0.tgz, r-oldrel: tscount_1.0.0.tgz
OS X Mavericks binaries: r-release: tscount_1.0.0.tgz