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-4.5)WaveletETS_0.1.0.zip(r-4.4)WaveletETS_0.1.0.zip(r-4.3)
WaveletETS_0.1.0.tgz(r-4.4-any)WaveletETS_0.1.0.tgz(r-4.3-any)
WaveletETS_0.1.0.tar.gz(r-4.5-noble)WaveletETS_0.1.0.tar.gz(r-4.4-noble)
WaveletETS_0.1.0.tgz(r-4.4-emscripten)WaveletETS_0.1.0.tgz(r-4.3-emscripten)
WaveletETS.pdf |WaveletETS.html✨
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 2 years agofrom:fadc66fdd6. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 19 2024 |
R-4.5-win | OK | Nov 19 2024 |
R-4.5-linux | OK | Nov 19 2024 |
R-4.4-win | OK | Nov 19 2024 |
R-4.4-mac | OK | Nov 19 2024 |
R-4.3-win | OK | Nov 19 2024 |
R-4.3-mac | OK | Nov 19 2024 |
Exports:WaveletETS
Dependencies:caretcaretForecastclasscliclockcodetoolscolorspacecpp11curldata.tablediagramdigestdplyre1071fansifarverforeachforecastfracdifffuturefuture.applygenericsggplot2globalsgluegowergtablehardhatipredisobanditeratorsjsonliteKernSmoothlabelinglatticelavalifecyclelistenvlmtestlubridatemagrittrMASSMatrixMetricsmgcvModelMetricsmunsellnlmennetnumDerivparallellypillarpkgconfigplyrpROCprodlimprogressrproxypurrrquadprogquantmodR6RColorBrewerRcppRcppArmadillorecipesreshape2rlangrpartscalesshapeSQUAREMstringistringrsurvivaltibbletidyrtidyselecttimechangetimeDatetseriesTTRtzdburcautf8vctrsviridisLitewaveletswithrxtszoo
Readme and manuals
Help Manual
Help page | Topics |
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Wavelet Based Error Trend Seasonality Model | WaveletETS |