Package: smooth
Type: Package
Title: Forecasting Using Smoothing Functions
Version: 2.4.1
Date: 2018-03-04
Authors@R: person("Ivan", "Svetunkov", email = "ivan@svetunkov.ru", role = c("aut", "cre"),
                  comment="Lecturer at Centre for Marketing Analytics and Forecasting, Lancaster University, UK")
URL: https://github.com/config-i1/smooth
BugReports: https://github.com/config-i1/smooth/issues
Description: Functions implementing Single Source of Error state-space models for purposes of time series
            analysis and forecasting. The package includes exponential smoothing, SARIMA in state-space forms and
            several simulation functions.
License: GPL (>= 2)
Depends: R (>= 3.0.2)
Imports: Rcpp (>= 0.12.3), stats, graphics, forecast, nloptr, utils,
        zoo
LinkingTo: Rcpp, RcppArmadillo (>= 0.8.100.0.0)
Suggests: Mcomp, numDeriv, testthat, knitr, rmarkdown
VignetteBuilder: knitr
RoxygenNote: 6.0.1
NeedsCompilation: yes
Packaged: 2018-03-04 11:14:53 UTC; config
Author: Ivan Svetunkov [aut, cre] (Lecturer at Centre for Marketing Analytics
    and Forecasting, Lancaster University, UK)
Maintainer: Ivan Svetunkov <ivan@svetunkov.ru>
Repository: CRAN
Date/Publication: 2018-03-06 07:33:59 UTC
Built: R 3.3.3; x86_64-w64-mingw32; 2018-04-22 12:58:13 UTC; windows
Archs: i386, x64
