Package: KFAS
Version: 1.2.9
Date: 2017-08-21
Title: Kalman Filter and Smoother for Exponential Family State Space
        Models
Author: Jouni Helske <jouni.helske@iki.fi>
Maintainer: Jouni Helske <jouni.helske@iki.fi>
Depends: R (>= 3.1.0)
Imports: stats
Suggests: MASS, testthat, knitr, lme4
Description: State space modelling is an efficient and flexible method for 
    statistical inference of a broad class of time series and other data. KFAS 
    (Helske 2017) <doi:10.18637/jss.v078.i10> 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.
License: GPL (>= 2)
BugReports: https://github.com/helske/KFAS/issues
VignetteBuilder: knitr
RoxygenNote: 6.0.1
ByteCompile: true
NeedsCompilation: yes
Packaged: 2017-08-21 11:35:21 UTC; jouni
Repository: CRAN
Date/Publication: 2017-08-21 13:29:34 UTC
