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-any)WaveletANN_0.1.2.zip(r-4.6-any)WaveletANN_0.1.2.zip(r-4.5-any)
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✨
DESCRIPTION
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 298 downloads 2 exports 33 dependencies

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

TargetResultTimeFilesSyslog
linux-develOK123
source / vignettesOK186
linux-releaseOK110
macos-releaseOK123
macos-oldrelOK104
windows-develOK85
windows-releaseOK86
windows-oldrelOK82
wasm-releaseOK87

Exports:WaveletFittingWaveletFittingann

Dependencies:clicolorspacecpp11farverforecastfracdiffgenericsggplot2gluegtableisobandlabelinglatticelifecyclelmtestmagrittrMetricsnlmennetR6RColorBrewerRcppRcppArmadillorlangS7scalestimeDateurcavctrsviridisLitewaveletswithrzoo