Package: WaveletKNN 0.1.0

WaveletKNN: Wavelet Based K-Nearest Neighbor Model

The employment of the Wavelet decomposition technique proves to be highly advantageous in the modelling of noisy time series data. Wavelet decomposition technique using the "haar" algorithm has been incorporated to formulate a hybrid Wavelet KNN (K-Nearest Neighbour) model for time series forecasting, as proposed by Anjoy and Paul (2017) <doi:10.1007/s00521-017-3289-9>.

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

WaveletKNN_0.1.0.tar.gz
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WaveletKNN_0.1.0.tgz(r-4.4-any)WaveletKNN_0.1.0.tgz(r-4.3-any)
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WaveletKNN.pdf |WaveletKNN.html✨
WaveletKNN/json (API)

# Install 'WaveletKNN' in R:

install.packages('WaveletKNN', repos = c('https://yeasinstat.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

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

1.00 score 112 downloads 1 exports 91 dependencies

Last updated 2 years agofrom:713da2de2a. Checks:OK: 7. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Oct 27 2024
R-4.5-win	OK	Oct 27 2024
R-4.5-linux	OK	Oct 27 2024
R-4.4-win	OK	Oct 27 2024
R-4.4-mac	OK	Oct 27 2024
R-4.3-win	OK	Oct 27 2024
R-4.3-mac	OK	Oct 27 2024