Package: rEDM
Type: Package
Title: Empirical Dynamic Modeling (EDM)
Version: 1.2.2
Date: 2020-02-19
Authors@R: c( person("Joseph", "Park", role = c("aut", "cre"),
                     email = "JosephPark@IEEE.org",
                     comment = "ORCID:0000-0001-5411-1409" ),
              person("Cameron", "Smith", role = c("aut"),
                     email = "cos008@ucsd.edu",
                     comment = "" ),
              person("George", "Sugihara", role = c("aut", "ccp"), 
                     comment = "ORCID:0000-0002-2863-6946"),
              person("Ethan", "Deyle", role = c("aut"),
                     comment = "ORCID:0000-0001-8704-8434"),
              person("Erik", "Saberski", role = c("ctb"),
                     comment = "ORCID:0000-0002-6475-6187") )
Maintainer: Joseph Park <JosephPark@IEEE.org>
Description: 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>.
Note: Version 1.0 is a major rewrite of the 'rEDM' package as a wrapper
        for the 'cppEDM' library.  Function names and signatures have
        changed.  This allows a unified computation engine for EDM
        algorithms across C++, Python and R implementations.  The
        'cppEDM' is written in a functional programming paradigm,
        facilitating clarity and ease of understanding to foster
        collaboration and extension.  The revised package provides
        improved alignment between observed and forecast data rows,
        and, strict exclusion of partial data vectors.  Gaussian
        process regression is not currently implemented.
License: file LICENSE
LazyData: true
LazyLoad: yes
Imports: methods, Rcpp (>= 1.0.1)
LinkingTo: Rcpp, RcppThread
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2020-02-19 16:43:37 UTC; jpark
Author: Joseph Park [aut, cre] (ORCID:0000-0001-5411-1409),
  Cameron Smith [aut],
  George Sugihara [aut, ccp] (ORCID:0000-0002-2863-6946),
  Ethan Deyle [aut] (ORCID:0000-0001-8704-8434),
  Erik Saberski [ctb] (ORCID:0000-0002-6475-6187)
Repository: CRAN
Date/Publication: 2020-03-02 14:50:07 UTC
