Package: spemd 0.1-1
spemd: A Bi-Dimensional Implementation of the Empirical Mode Decomposition for Spatial Data
This implementation of the Empirical Mode Decomposition (EMD) works in 2 dimensions simultaneously, and can be applied on spatial data. It can handle both gridded or un-gridded datasets.
Authors:
spemd_0.1-1.tar.gz
spemd_0.1-1.zip(r-4.5)spemd_0.1-1.zip(r-4.4)spemd_0.1-1.zip(r-4.3)
spemd_0.1-1.tgz(r-4.4-any)spemd_0.1-1.tgz(r-4.3-any)
spemd_0.1-1.tar.gz(r-4.5-noble)spemd_0.1-1.tar.gz(r-4.4-noble)
spemd_0.1-1.tgz(r-4.4-emscripten)spemd_0.1-1.tgz(r-4.3-emscripten)
spemd.pdf |spemd.html✨
spemd/json (API)
# Install 'spemd' in R: |
install.packages('spemd', repos = c('https://pierreroudier.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/pierreroudier/spemd/issues
Last updated 6 years agofrom:8c193baded. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 14 2024 |
R-4.5-win | OK | Nov 14 2024 |
R-4.5-linux | OK | Nov 14 2024 |
R-4.4-win | OK | Nov 14 2024 |
R-4.4-mac | OK | Nov 14 2024 |
R-4.3-win | OK | Nov 14 2024 |
R-4.3-mac | OK | Nov 14 2024 |
Exports:spEMD
Dependencies:BHbootclassclassIntDBIdeldire1071KernSmoothlatticemagrittrMASSMBAproxyRcpps2sfspspDataspdepunitswk
Readme and manuals
Help Manual
Help page | Topics |
---|---|
create.neig | create.neig |
extract.extrema | extract.etxrema extract.extrema |
extrema.irr | extrema.irr |
return.mean.enveloppe | return.mean.enveloppe |
spEMD | spEMD |