Package: WaveletANN 0.1.2

WaveletANN: Wavelet ANN Model

The wavelet and ANN technique have been combined to reduce the effect of data noise. This wavelet-ANN conjunction model is able to forecast time series data with better accuracy than the traditional time series model. This package fits hybrid Wavelet ANN model for time series forecasting using algorithm by Anjoy and Paul (2017) <doi:10.1007/s00521-017-3289-9>.

Authors:Dr. Ranjit Kumar Paul [aut, cre], Dr. Md Yeasin [aut]

WaveletANN_0.1.2.tar.gz
WaveletANN_0.1.2.zip(r-4.7)WaveletANN_0.1.2.zip(r-4.6)WaveletANN_0.1.2.zip(r-4.5)
WaveletANN_0.1.2.tgz(r-4.6-any)WaveletANN_0.1.2.tgz(r-4.5-any)
WaveletANN_0.1.2.tar.gz(r-4.7-any)WaveletANN_0.1.2.tar.gz(r-4.6-any)
WaveletANN_0.1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
WaveletANN/json (API)

# Install 'WaveletANN' in R:
install.packages('WaveletANN', repos = c('https://ranjitstat.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 3 scripts 182 downloads 2 exports 33 dependencies

Last updated from:10bcbe6ae4. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK126
source / vignettesOK152
linux-release-x86_64OK127
macos-release-arm64OK77
macos-oldrel-arm64OK112
windows-develOK100
windows-releaseOK96
windows-oldrelOK97
wasm-releaseOK103

Exports:WaveletFittingWaveletFittingann

Dependencies:clicolorspacecpp11farverforecastfracdiffgenericsggplot2gluegtableisobandlabelinglatticelifecyclelmtestmagrittrMetricsnlmennetR6RColorBrewerRcppRcppArmadillorlangS7scalestimeDateurcavctrsviridisLitewaveletswithrzoo