Abstract | Installation | Introduction | Time Series as Observations of a Dynamic System | Attractor Reconstruction / Takens' Theorem | Demonstration of EDM | Nearest Neighbor Forecasting using Simplex Projection | Example | Optimal embedding dimension | Prediction Decay | Identifying Nonlinearity | Simplex() and SMap() functions | Simplex() | SMap() | Generalized Takens Theorem | S-map Coefficients | Multiview Embedding | Causality Inference and Cross Mapping | Convergent Cross Mapping (CCM) | Real Data Example | Apple-Blossom Thrips | Univariate Analysis | Seasonal Drivers | Convergent Cross-Mapping | Seasonal Surrogate Test | Package Core | Data Input | S-Map coefficients and embedded data | Acknowledgements | References
Package: rEDM 2.0.2
rEDM: Empirical Dynamic Modeling ('EDM')
An implementation of 'EDM' algorithms based on research software developed at the Sugihara Lab ('UCSD/SIO'). Primary methods include 'Simplex' projection from Sugihara & May (1990) <doi:10.1038/344734a0>, Sequential locally-weighted global linear maps 'S-map': Sugihara (1994) <doi:10.1098/rsta.1994.0106>, Convergent cross mapping described in Sugihara et al. (2012) <doi:10.1126/science.1227079>, and, 'Multiview embedding' from Ye & Sugihara (2016) <doi:10.1126/science.aag0863>.
Authors:
rEDM_2.0.2.tar.gz
rEDM_2.0.2.zip(r-4.7-any)rEDM_2.0.2.zip(r-4.6-any)rEDM_2.0.2.zip(r-4.5-any)
rEDM_2.0.2.tgz(r-4.6-any)rEDM_2.0.2.tgz(r-4.5-any)
rEDM_2.0.2.tar.gz(r-4.7-any)rEDM_2.0.2.tar.gz(r-4.6-any)
rEDM_2.0.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
rEDM/json (API)
| # Install 'rEDM' in R: |
| install.packages('rEDM', repos = c('https://softwareliteracy.r-universe.dev', 'https://cloud.r-project.org')) |
Datasets:
- block_3sp - Time series for a three-species coupled model.
- circle - 2-D timeseries of a circle.
- EvergladesFlow - Water flow to NE Everglades
- Lorenz5D - 5-D Lorenz'96
- paramecium_didinium - Time series for the Paramecium-Didinium laboratory experiment
- sardine_anchovy_sst - Time series for the California Current Anchovy-Sardine-SST system
- TentMap - Time series for a tent map with mu = 2.
- TentMapNoise - Time series of tent map plus noise.
- Thrips - Apple-blossom Thrips time series
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:f257c313a2. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 109 | ||
| source / vignettes | OK | 247 | ||
| linux-release | OK | 125 | ||
| macos-release | OK | 125 | ||
| macos-oldrel | OK | 161 | ||
| windows-devel | OK | 93 | ||
| windows-release | OK | 74 | ||
| windows-oldrel | OK | 70 | ||
| wasm-release | OK | 118 |
Exports:CCMComputeErrorEmbedEmbedDimensionMultiviewPlotObsPredPlotSmapPredictExclusionRadiusPredictIntervalPredictNonlinearSimplexSMapSurrogateData
Dependencies:RANN
