Package: decomposedPSF 0.2

decomposedPSF: Time Series Prediction with PSF and Decomposition Methods (EMD and EEMD)

Predict future values with hybrid combinations of Pattern Sequence based Forecasting (PSF), Autoregressive Integrated Moving Average (ARIMA), Empirical Mode Decomposition (EMD) and Ensemble Empirical Mode Decomposition (EEMD) methods based hybrid methods.

Authors:Neeraj Bokde

decomposedPSF_0.2.tar.gz
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decomposedPSF_0.2.tgz(r-4.4-any)decomposedPSF_0.2.tgz(r-4.3-any)
decomposedPSF_0.2.tar.gz(r-4.5-noble)decomposedPSF_0.2.tar.gz(r-4.4-noble)
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decomposedPSF.pdf |decomposedPSF.html✨
decomposedPSF/json (API)

Peer review:

On CRAN:

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

7 exports 0.36 score 49 dependencies 1 dependents 12 scripts 236 downloads

Last updated 2 years agofrom:aa689c974c. Checks:OK: 7. Indexed: yes.

Exports:eemdarimaeemdpsfeemdpsfarimaemdarimaemdpsfemdpsfarimalpsf

Dependencies:cliclustercolorspacecurldata.tablefansifarverforecastfracdiffgenericsggplot2gluegtableisobandjsonlitelabelinglatticelifecyclelmtestmagrittrMASSMatrixmgcvmunsellnlmennetpillarpkgconfigPSFquadprogquantmodR6RColorBrewerRcppRcppArmadillorlangRlibeemdscalestibbletimeDatetseriesTTRurcautf8vctrsviridisLitewithrxtszoo