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forecastLSW
View on CRAN: Click
here
Download and install forecastLSW package within the R console
Install from CRAN:
install.packages("forecastLSW")
Install from Github:
library("remotes")
install_github("cran/forecastLSW") Install by package version:
library("remotes")
install_version("forecastLSW", "1.1.1") Attach the package and use:
library("forecastLSW")
Maintained by
Rebecca Killick
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-04-25
Latest Update: 2025-09-03
Description:
Implementation to perform forecasting of locally stationary wavelet processes by examining the local second order structure of the time series.
How to cite:
Rebecca Killick (2023). forecastLSW: Forecasting Routines for Locally Stationary Wavelet Processes. R package version 1.1.1, https://cran.r-project.org/web/packages/forecastLSW. Accessed 05 Jun. 2026.
Previous versions and publish date:
1.0 (2023-04-25 19:30)
Other packages that cited forecastLSW R package
View forecastLSW citation profile
Other R packages that forecastLSW depends,
imports, suggests or enhances
Complete documentation for forecastLSW
Functions, R codes and Examples using
the forecastLSW R package
Some associated functions: abmld2 . analyze.abmld2 . analyze.windanomaly . forecastLSW-package . forecastlpacf . forecastpanel . fp.forecast . plot.forecastlpacf . print.forecastlpacf . summary.forecastlpacf . testforecast . which.wavelet.best . windanomaly .
Some associated R codes: analyze.abmld2.R . analyze.windanomaly.R . ci.sym.R . dforecastlpacf.R . forecastlpacf.R . forecastpanel.R . fp.forecast.R . is.wholenumber.R . lacv.fc.leftwp.R . lpacf.leftwp.end.R . plot.forecastlpacf.R . print.forecastlpacf.R . reg.xyr.R . sig.sq.R . summary.forecastlpacf.R . testforecast.R . which.wavelet.best.R . Full forecastLSW package functions and examples
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