Package: statespacer
Version: 0.5.0
Date: 2023-01-27
Title: State Space Modelling in 'R'
Description: A tool that makes estimating models in state space form a
        breeze. See "Time Series Analysis by State Space Methods" by
        Durbin and Koopman (2012, ISBN: 978-0-19-964117-8) for details
        about the algorithms implemented.
Authors@R: person("Dylan", "Beijers", email = "dylanbeijers@gmail.com", 
                  role = c("aut", "cre"))
URL: https://DylanB95.github.io/statespacer/,
        https://github.com/DylanB95/statespacer/
BugReports: https://github.com/DylanB95/statespacer/issues/
License: MIT + file LICENSE
RoxygenNote: 7.2.3
Roxygen: list(markdown = TRUE)
RdMacros: Rdpack
Depends: R (>= 3.6)
Imports: Rdpack, stats, Rcpp
Suggests: datasets, graphics, knitr, numDeriv (>= 2016.8-1.1), optimx
        (>= 2020-4.2), rmarkdown
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
LinkingTo: Rcpp, RcppArmadillo
Repository: https://dylanb95.r-universe.dev
Date/Publication: 2023-01-27 23:52:59 UTC
RemoteUrl: https://github.com/dylanb95/statespacer
RemoteRef: HEAD
RemoteSha: 2e7affcece9637e56859d629febfc239ecdfb0ff
NeedsCompilation: yes
Packaged: 2026-06-17 10:58:26 UTC; root
Author: Dylan Beijers [aut, cre]
Maintainer: Dylan Beijers <dylanbeijers@gmail.com>