Package: EPT 0.7.6
EPT: Ensemble Patch Transform, Visualization and Decomposition
For multiscale analysis, this package carries out ensemble patch transform, its visualization and multiscale decomposition. The detailed procedure is described in Kim et al. (2020), and Oh and Kim (2020). D. Kim, G. Choi, H.-S. Oh, Ensemble patch transformation: a flexible framework for decomposition and filtering of signal, EURASIP Journal on Advances in Signal Processing 30 (2020) 1-27 <doi:10.1186/s13634-020-00690-7>. H.-S. Oh, D. Kim, Image decomposition by bidimensional ensemble patch transform, Pattern Recognition Letters 135 (2020) 173-179 <doi:10.1016/j.patrec.2020.03.029>.
Authors:
EPT_0.7.6.tar.gz
EPT_0.7.6.zip(r-4.5)EPT_0.7.6.zip(r-4.4)EPT_0.7.6.zip(r-4.3)
EPT_0.7.6.tgz(r-4.4-any)EPT_0.7.6.tgz(r-4.3-any)
EPT_0.7.6.tar.gz(r-4.5-noble)EPT_0.7.6.tar.gz(r-4.4-noble)
EPT_0.7.6.tgz(r-4.4-emscripten)EPT_0.7.6.tgz(r-4.3-emscripten)
EPT.pdf |EPT.html✨
EPT/json (API)
# Install 'EPT' in R: |
install.packages('EPT', repos = c('https://dkimstatlab.r-universe.dev', 'https://cloud.r-project.org')) |
- LOD - Length of Day Data
- SolarRadiation - Solar Radiation
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 3 years agofrom:a86526fab7. 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:chooseindex2deptdecompeptdecomp2deptmapeptploteptransfeptransf2dlocalextremameptransfmeptransf2d
Dependencies: