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LSTS: Locally Stationary Time Series

A set of functions that allow stationary analysis and locally stationary time series analysis.

Version: 2.1
Depends: R (≥ 3.6.0)
Imports: stats, Rdpack, ggplot2, scales, patchwork
Suggests: testthat (≥ 2.1.0)
Published: 2021-07-29
Author: Ricardo Olea [aut, cph], Wilfredo Palma [aut, cph], Pilar Rubio [aut], Mauricio Vargas ORCID iD [aut, cre]
Maintainer: Mauricio Vargas <mavargas11 at uc.cl>
BugReports: https://github.com/pachadotdev/LSTS/issues/
License: Apache License (≥ 2)
URL: https://pacha.dev/LSTS/
NeedsCompilation: no
Materials: NEWS
In views: TimeSeries
CRAN checks: LSTS results

Documentation:

Reference manual: LSTS.pdf

Downloads:

Package source: LSTS_2.1.tar.gz
Windows binaries: r-devel: LSTS_2.1.zip, r-release: LSTS_2.1.zip, r-oldrel: LSTS_2.1.zip
macOS binaries: r-release (arm64): LSTS_2.1.tgz, r-oldrel (arm64): LSTS_2.1.tgz, r-release (x86_64): LSTS_2.1.tgz, r-oldrel (x86_64): LSTS_2.1.tgz
Old sources: LSTS archive

Reverse dependencies:

Reverse imports: CEEMDANML, WaveletML

Linking:

Please use the canonical form https://CRAN.R-project.org/package=LSTS to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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