ha0ye/rEDM: Applications of Empirical Dynamic Modeling from Time Series
Version 0.6.19

A new implementation of EDM algorithms based on research software previously developed for internal use in the Sugihara Lab (UCSD/SIO). Contains C++ compiled objects that use time delay embedding to perform state-space reconstruction and nonlinear forecasting and an R interface to those objects using 'Rcpp'. It supports both the simplex projection method from Sugihara & May (1990) and the S-map algorithm in Sugihara (1994) . In addition, this package implements convergent cross mapping as described in Sugihara et al. (2012) and multiview embedding as described in Ye & Sugihara (2016) .

Getting started

Package details

AuthorHao Ye [aut, cre], Adam Clark [aut], Ethan Deyle [aut], Steve Munch [aut], Jun Cai [ctb], Jane Cowles [ctb], Yair Daon [ctb], Andrew Edwards [ctb], Oliver Keyes [ctb], James Stagge [ctb], Masayuki Ushio [ctb], Ethan White [ctb], George Sugihara [ctb, ccp]
MaintainerHao Ye <[email protected]>
Licensefile LICENSE
Version0.6.19
URL https://github.com/ha0ye/rEDM
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("ha0ye/rEDM")
ha0ye/rEDM documentation built on June 6, 2018, 3:19 a.m.