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.
- Version1.4.3
- R versionunknown
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- tscount citation info
- Last release09/08/2020
Documentation
Team
Tobias Liboschik
Roland Fried
Show author detailsRolesAuthorKonstantinos Fokianos
Show author detailsRolesAuthorPhilipp Probst
Show author detailsRolesAuthorJonathan Rathjens
Show author detailsRolesContributor
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- Imports2 packages
- Suggests4 packages
- Reverse Depends1 package