Package: statespacer
Version: 0.4.0
Date: 2020-11-19
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: 7.1.1
RdMacros: Rdpack
Depends: R (>= 3.6)
Imports: Rdpack, stats, Rcpp
Suggests: datasets, graphics, knitr, numDeriv (>= 2016.8-1.1), optimx
        (>= 2020-4.2), rmarkdown, YieldCurve (>= 4.1)
VignetteBuilder: knitr
LinkingTo: Rcpp, RcppArmadillo
NeedsCompilation: yes
Packaged: 2020-11-19 18:55:39 UTC; Dylan
Author: Dylan Beijers [aut, cre]
Maintainer: Dylan Beijers <dylanbeijers@gmail.com>
Repository: CRAN
Date/Publication: 2020-11-19 19:20:03 UTC
Built: R 4.0.5; x86_64-w64-mingw32; 2022-04-21 05:30:23 UTC; windows
Archs: i386, x64
