Package: WaveletETS 0.1.0
WaveletETS: Wavelet Based Error Trend Seasonality Model
ETS stands for Error, Trend, and Seasonality, and it is a popular time series forecasting method. Wavelet decomposition can be used for denoising, compression, and feature extraction of signals. By removing the high-frequency components, wavelet decomposition can remove noise from the data while preserving important features. A hybrid Wavelet ETS (Error Trend-Seasonality) model has been developed for time series forecasting using algorithm of Anjoy and Paul (2017) <doi:10.1007/s00521-017-3289-9>.
Authors:
WaveletETS_0.1.0.tar.gz
WaveletETS_0.1.0.zip(r-4.7)WaveletETS_0.1.0.zip(r-4.6)WaveletETS_0.1.0.zip(r-4.5)
WaveletETS_0.1.0.tgz(r-4.6-any)WaveletETS_0.1.0.tgz(r-4.5-any)
WaveletETS_0.1.0.tar.gz(r-4.7-any)WaveletETS_0.1.0.tar.gz(r-4.6-any)
WaveletETS_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
WaveletETS/json (API)
| # Install 'WaveletETS' in R: |
| install.packages('WaveletETS', repos = c('https://yeasinstat.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:fadc66fdd6. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 176 | ||
| source / vignettes | OK | 196 | ||
| linux-release-x86_64 | OK | 209 | ||
| macos-release-arm64 | OK | 138 | ||
| macos-oldrel-arm64 | OK | 107 | ||
| windows-devel | OK | 137 | ||
| windows-release | OK | 123 | ||
| windows-oldrel | OK | 130 | ||
| wasm-release | OK | 121 |
Exports:WaveletETS
Dependencies:caretcaretForecastclasscliclockcodetoolscolorspacecpp11curldata.tablediagramdigestdplyre1071farverforeachforecastfracdifffuturefuture.applygenericsggplot2globalsgluegowergtablehardhatipredisobanditeratorsjsonliteKernSmoothlabelinglatticelavalifecyclelistenvlmtestlubridatemagrittrMASSMatrixMetricsModelMetricsnlmennetnumDerivparallellypillarpkgconfigplyrpROCprodlimprogressrproxypurrrquadprogquantmodR6RColorBrewerRcppRcppArmadillorecipesreshape2rlangrpartS7scalesshapesparsevctrsSQUAREMstringistringrsurvivaltibbletidyrtidyselecttimechangetimeDatetseriesTTRtzdburcautf8vctrsviridisLitewaveletswithrxtszoo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Wavelet Based Error Trend Seasonality Model | WaveletETS |
