KFAS: Exponential Family State Space Models in R

@article{Helske2016KFASEF,
  title={KFAS: Exponential Family State Space Models in R},
  author={Jouni Helske},
  journal={Journal of Statistical Software},
  year={2016},
  volume={78},
  pages={1-39}
}
  • J. Helske
  • Published 6 December 2016
  • Mathematics
  • Journal of Statistical Software
State space modeling is an efficient and flexible method for statistical inference of a broad class of time series and other data. This paper describes the R package KFAS for state space modeling with the observations from an exponential family, namely Gaussian, Poisson, binomial, negative binomial and gamma distributions. After introducing the basic theory behind Gaussian and non-Gaussian state space models, an illustrative example of Poisson time series forecasting is provided. Finally, a… 

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