Package: Rlibeemd 1.4.3

Jouni Helske

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
Rlibeemd_1.4.3.tar.gz(r-4.5-noble)Rlibeemd_1.4.3.tar.gz(r-4.4-noble)
Rlibeemd_1.4.3.tgz(r-4.4-emscripten)Rlibeemd_1.4.3.tgz(r-4.3-emscripten)
Rlibeemd.pdf |Rlibeemd.html✨
Rlibeemd/json (API)

# Install 'Rlibeemd' in R:
install.packages('Rlibeemd', repos = c('https://cran.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
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).

gslcpp

3.30 score 3 stars 13 packages 17 scripts 482 downloads 6 exports 1 dependencies

Last updated 1 years agofrom:191116e4fc. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKDec 25 2024
R-4.5-linux-x86_64OKDec 25 2024

Exports:bemdceemdaneemdemdemd_num_imfsextrema

Dependencies:Rcpp