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
WaveletKNN_0.1.0.zip(r-4.7-any)WaveletKNN_0.1.0.zip(r-4.6-any)WaveletKNN_0.1.0.zip(r-4.5-any)
WaveletKNN_0.1.0.tgz(r-4.6-any)WaveletKNN_0.1.0.tgz(r-4.5-any)
WaveletKNN_0.1.0.tar.gz(r-4.7-any)WaveletKNN_0.1.0.tar.gz(r-4.6-any)
WaveletKNN_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
WaveletKNN/json (API)

# Install 'WaveletKNN' in R:
install.packages('WaveletKNN', repos = c('https://yeasinstat.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 304 downloads 1 exports 90 dependencies

Last updated from:713da2de2a. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK180
source / vignettesOK202
linux-releaseOK184
macos-releaseOK227
macos-oldrelOK227
windows-develOK135
windows-releaseOK114
windows-oldrelOK124
wasm-releaseOK101

Exports:WaveletKNN

Dependencies:caretcaretForecastclasscliclockcodetoolscolorspacecpp11curldata.tablediagramdigestdplyre1071farverforeachforecastfracdifffuturefuture.applygenericsggplot2globalsgluegowergtablehardhatipredisobanditeratorsjsonliteKernSmoothlabelinglatticelavalifecyclelistenvlmtestlubridatemagrittrMASSMatrixMetricsModelMetricsnlmennetnumDerivparallellypillarpkgconfigplyrpROCprodlimprogressrproxypurrrquadprogquantmodR6RColorBrewerRcppRcppArmadillorecipesreshape2rlangrpartS7scalesshapesparsevctrsSQUAREMstringistringrsurvivaltibbletidyrtidyselecttimechangetimeDatetseriesTTRtzdburcautf8vctrsviridisLitewaveletswithrxtszoo