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forecastLSW: Forecasting Routines for Locally Stationary Wavelet Processes

Implementation to perform forecasting of locally stationary wavelet processes by examining the local second order structure of the time series.

Version: 1.0
Depends: R (≥ 3.5.0), stats, locits, wavethresh, parallel, lpacf, methods
Imports: forecast
Published: 2023-04-25
DOI: 10.32614/CRAN.package.forecastLSW
Author: Rebecca Killick [aut, cre], Matt Nunes [aut], Guy Nason [aut], Marina Knight [aut], Idris Eckley [ctb]
Maintainer: Rebecca Killick <r.killick at lancs.ac.uk>
License: GPL-2
NeedsCompilation: no
Materials: NEWS
In views: TimeSeries
CRAN checks: forecastLSW results

Documentation:

Reference manual: forecastLSW.pdf

Downloads:

Package source: forecastLSW_1.0.tar.gz
Windows binaries: r-devel: forecastLSW_1.0.zip, r-release: forecastLSW_1.0.zip, r-oldrel: forecastLSW_1.0.zip
macOS binaries: r-release (arm64): forecastLSW_1.0.tgz, r-oldrel (arm64): forecastLSW_1.0.tgz, r-release (x86_64): forecastLSW_1.0.tgz, r-oldrel (x86_64): forecastLSW_1.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=forecastLSW 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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