tscount (1.4.1)

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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.

Maintainer: Tobias Liboschik
Author(s): Tobias Liboschik [aut, cre], Roland Fried [aut], Konstantinos Fokianos [aut], Philipp Probst [aut], Jonathan Rathjens [ctb]

License: GPL-2 | GPL-3

Uses: ltsa, Matrix, VGAM, gamlss, surveillance, xtable, gamlss.data, KFAS, gamlss.util, gcmr, glarma, acp

Released about 2 years ago.

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