Showing 5 of total 5 results (show query)
bart1
move:Visualizing and Analyzing Animal Track Data
Contains functions to access movement data stored in 'movebank.org' as well as tools to visualize and statistically analyze animal movement data, among others functions to calculate dynamic Brownian Bridge Movement Models. Move helps addressing movement ecology questions.
Maintained by Bart Kranstauber. Last updated 4 months ago.
8.70 score 690 scripts 3 dependents
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/>.
Maintained by Jouni Helske. Last updated 2 years ago.
cdecompositioneemdemdtime-seriesgslcppopenmp
39 stars 6.14 score 17 scripts 14 dependents
rebeccasalles
TSPred:Functions for Benchmarking Time Series Prediction
Functions for defining and conducting a time series prediction process including pre(post)processing, decomposition, modelling, prediction and accuracy assessment. The generated models and its yielded prediction errors can be used for benchmarking other time series prediction methods and for creating a demand for the refinement of such methods. For this purpose, benchmark data from prediction competitions may be used.
Maintained by Rebecca Pontes Salles. Last updated 4 years ago.
benchmarkinglinear-modelsmachine-learningnonstationaritytime-series-forecasttime-series-prediction
24 stars 5.53 score 94 scripts 1 dependents
dkimstatlab
EMD:Empirical Mode Decomposition and Hilbert Spectral Analysis
For multiscale analysis, this package carries out empirical mode decomposition and Hilbert spectral analysis. For usage of EMD, see Kim and Oh, 2009 (Kim, D and Oh, H.-S. (2009) EMD: A Package for Empirical Mode Decomposition and Hilbert Spectrum, The R Journal, 1, 40-46).
Maintained by Donghoh Kim. Last updated 3 years ago.
1 stars 4.17 score 55 scripts 9 dependents
s-u
emdist:Earth Mover's Distance
Package providing calculation of Earth Mover's Distance (EMD).
Maintained by Simon Urbanek. Last updated 2 years ago.
1 stars 3.56 score 60 scripts 5 dependents