Package: smooth
Type: Package
Title: Forecasting Using State Space Models
Version: 2.5.0
Date: 2019-04-25
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
Language: en-GB
Description: Functions implementing Single Source of Error state space models for purposes
             of time series analysis and forecasting. The package includes Exponential Smoothing,
             SARIMA, Complex Exponential Smoothing, Simple Moving Average, Vector Exponential
             Smoothing in state space forms, several simulation functions and intermittent demand
             state space models.
License: GPL (>= 2)
Depends: R (>= 3.0.2), greybox (>= 0.5.0)
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: 6.1.1
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2019-04-25 18:08:23 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: 2019-04-25 22:50:56 UTC
Built: R 3.4.4; x86_64-w64-mingw32; 2019-04-26 23:26:42 UTC; windows
Archs: i386, x64
