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State space modelling is an efficient and flexible method for statistical inference of a broad class of time series and other data. KFAS includes fast functions for Kalman filtering, smoothing, forecasting, and simulation of multivariate exponential family state space models, with observations from Gaussian, Poisson, binomial, negative binomial, and gamma distributions.
Package details 


Author  Jouni Helske <[email protected]> 
Date of publication  20180104 14:50:00 UTC 
Maintainer  Jouni Helske <[email protected]> 
License  GPL (>= 2) 
Version  1.3.1 
Package repository  View on CRAN 
Installation 
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