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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.
Getting started
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Package details |
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| 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> |
| License | GPL-2 | GPL-3 |
| Version | 1.4.3 |
| URL | http://tscount.r-forge.r-project.org |
| Package repository | View on CRAN |
| Installation |
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