simts: Time Series Analysis Tools

A system contains easy-to-use tools as a support for time series analysis courses. In particular, it incorporates a technique called Generalized Method of Wavelet Moments (GMWM) as well as its robust implementation for fast and robust parameter estimation of time series models which is described, for example, in Guerrier et al. (2013) <doi:10.1080/01621459.2013.799920>. More details can also be found in the paper linked to via the URL below.

Version: 0.1.1
Depends: R (≥ 3.4.0)
Imports: Rcpp, stats, utils, scales, grDevices, graphics, broom, dplyr, magrittr, methods, purrr, tidyr, robcor
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, rmarkdown
Published: 2019-07-21
Author: Stéphane Guerrier [aut, cre, cph], James Balamuta [aut, cph], Roberto Molinari [aut, cph], Justin Lee [aut], Yuming Zhang [aut], Wenchao Yang [ctb], Nathanael Claussen [ctb], Yunxiang Zhang [ctb], Christian Gunning [cph], Romain Francois [cph], Ross Ihaka [cph], R Core Team [cph]
Maintainer: Stéphane Guerrier <stef.guerrier at gmail.com>
BugReports: https://github.com/SMAC-Group/simts/issues
License: AGPL-3 | file LICENSE
Copyright: see file COPYRIGHTS
URL: https://github.com/SMAC-Group/simts, https://arxiv.org/pdf/1607.04543.pdf
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: simts results

Downloads:

Reference manual: simts.pdf
Vignettes: Simulations from Time Series Models
Package source: simts_0.1.1.tar.gz
Windows binaries: r-devel: simts_0.1.1.zip, r-release: simts_0.1.1.zip, r-oldrel: simts_0.1.1.zip
macOS binaries: r-release: simts_0.1.1.tgz, r-oldrel: simts_0.1.1.tgz
Old sources: simts archive

Reverse dependencies:

Reverse imports: avar, wv

Linking:

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