Package: KFAS
Version: 1.6.0
Title: Kalman Filter and Smoother for Exponential Family State Space
        Models
Authors@R: 
    person(given = "Jouni",
           family = "Helske",
           role = c("aut", "cre"),
           email = "jouni.helske@iki.fi",
           comment = c(ORCID = "0000-0001-7130-793X"))
Depends: R (>= 3.1.0)
Imports: stats
Suggests: knitr, lme4, MASS, Matrix, testthat
Description: State space modelling is an efficient and flexible
        framework for statistical inference of a broad class of time
        series and other data. KFAS includes computationally efficient
        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. See the paper by
        Helske (2017) <doi:10.18637/jss.v078.i10> for details.
License: GPL (>= 2)
BugReports: https://github.com/helske/KFAS/issues
VignetteBuilder: knitr
Encoding: UTF-8
ByteCompile: true
URL: https://github.com/helske/KFAS
RoxygenNote: 7.3.2
Repository: https://helske.r-universe.dev
Date/Publication: 2025-05-25 20:00:20 UTC
RemoteUrl: https://github.com/helske/KFAS
RemoteRef: HEAD
RemoteSha: 87fbe8c136e3bb151358af2b5186603094719a15
NeedsCompilation: yes
Packaged: 2026-06-24 04:06:33 UTC; root
Author: Jouni Helske [aut, cre] (ORCID:
    <https://orcid.org/0000-0001-7130-793X>)
Maintainer: Jouni Helske <jouni.helske@iki.fi>