Package: Rlibeemd 1.4.3

Rlibeemd: Ensemble Empirical Mode Decomposition (EEMD) and Its Complete Variant (CEEMDAN)

An R interface for libeemd (Luukko, Helske, Räsänen, 2016) <doi:10.1007/s00180-015-0603-9>, a C library of highly efficient parallelizable functions for performing the ensemble empirical mode decomposition (EEMD), its complete variant (CEEMDAN), the regular empirical mode decomposition (EMD), and bivariate EMD (BEMD). Due to the possible portability issues CRAN version no longer supports OpenMP, you can install OpenMP-supported version from GitHub: <https://github.com/helske/Rlibeemd/>.

Authors:Jouni Helske [aut, cre], Perttu Luukko [aut]

Rlibeemd_1.4.3.tar.gz
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Rlibeemd.pdf |Rlibeemd.html
Rlibeemd/json (API)

# Install 'Rlibeemd' in R:
install.packages('Rlibeemd', repos = c('https://helske.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/helske/rlibeemd/issues

Uses libs:
  • gsl– GNU Scientific Library (GSL)
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library
Datasets:
  • ECG - Electrocardiogram Data Example ECG data from MIT-BIH Normal Sinus Rhythm Database, ECG1 of record 16265, first 2049 observations
  • float - Float Data The data are a position record from an acoustically tracked subsurface oceanographic float, used as an example data in Rilling et al (2007).

On CRAN:

cdecompositioneemdemdtime-series

6 exports 37 stars 3.68 score 1 dependencies 13 dependents 14 scripts 626 downloads

Last updated 1 years agofrom:26987ea33f. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 14 2024
R-4.5-win-x86_64OKSep 14 2024
R-4.5-linux-x86_64OKSep 14 2024
R-4.4-win-x86_64OKSep 14 2024
R-4.4-mac-x86_64OKSep 14 2024
R-4.4-mac-aarch64OKSep 14 2024
R-4.3-win-x86_64OKSep 14 2024
R-4.3-mac-x86_64OKSep 14 2024
R-4.3-mac-aarch64OKSep 14 2024

Exports:bemdceemdaneemdemdemd_num_imfsextrema

Dependencies:Rcpp