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: 0.2.1
Depends: R (≥ 3.6.0)
Imports: Rcpp, stats, utils, scales, grDevices, graphics, broom, dplyr, magrittr, methods, purrr, tidyr, robcor
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, rmarkdown
Published: 2022-09-03
Author: Stéphane Guerrier [aut, cre, cph], James Balamuta [aut, cph], Roberto Molinari [aut, cph], Justin Lee [aut], Lionel Voirol [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>
License: AGPL-3 | file LICENSE
Copyright: see file COPYRIGHTS
NeedsCompilation: yes
SystemRequirements: C++11
Materials: README NEWS
CRAN checks: simts results


Reference manual: simts.pdf
Vignettes: Simulations from Time Series Models


Package source: simts_0.2.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): simts_0.2.1.tgz, r-oldrel (arm64): simts_0.2.1.tgz, r-release (x86_64): simts_0.2.1.tgz, r-oldrel (x86_64): simts_0.2.1.tgz
Old sources: simts archive

Reverse dependencies:

Reverse imports: avar, wv
Reverse suggests: gmwmx


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