Package: rEDM 1.15.4

Joseph Park

rEDM: Empirical Dynamic Modeling ('EDM')

An implementation of 'EDM' algorithms based on research software developed for internal use at the Sugihara Lab ('UCSD/SIO'). The package is implemented with 'Rcpp' wrappers around the 'cppEDM' library. It implements the 'simplex' projection method from Sugihara & May (1990) <doi:10.1038/344734a0>, the 'S-map' algorithm from 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' described in Ye & Sugihara (2016) <doi:10.1126/science.aag0863>.

Authors:Joseph Park [aut, cre], Cameron Smith [aut], George Sugihara [aut, ccp], Ethan Deyle [aut], Erik Saberski [ctb], Hao Ye [ctb], The Regents of the University of California [cph]

rEDM_1.15.4.tar.gz
rEDM_1.15.4.tar.gz(r-4.5-noble)rEDM_1.15.4.tar.gz(r-4.4-noble)
rEDM_1.15.4.tgz(r-4.4-emscripten)rEDM_1.15.4.tgz(r-4.3-emscripten)
rEDM.pdf |rEDM.html
rEDM/json (API)
NEWS

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

Peer review:

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
Datasets:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

openblascpp

6.29 score 2 stars 1 packages 323 scripts 853 downloads 15 mentions 11 exports 2 dependencies

Last updated 9 months agofrom:72d86ce773. Checks:OK: 1 WARNING: 1. Indexed: no.

TargetResultDate
Doc / VignettesOKDec 03 2024
R-4.5-linux-x86_64WARNINGDec 03 2024

Exports:CCMComputeErrorEmbedEmbedDimensionMakeBlockMultiviewPredictIntervalPredictNonlinearSimplexSMapSurrogateData

Dependencies:RcppRcppThread

Empirical Dynamic Modeling

Rendered fromrEDM-tutorial.Rmdusingknitr::rmarkdownon Dec 03 2024.

Last update: 2023-10-23
Started: 2017-11-07