Skip to main content

Implementation of the Convergent Cross Mapping

Project description

This package computes the Convergent Cross Mapping described by Sugihara et al., 2012: “Detecting Causality in Complex Ecosystems”. Science 338: 496–500

This code was adapted from by Corey Chivers.

Frederic Laliberte, Univerity of Toronto, 2014

The Natural Sciences and Engineering Research Council of Canada (NSERC/CRSNG) funded FBL during this project.

Version History

0.4: The correlations are computed on the vector at lag 0. Note: this returns to the Sugihara et al. approach.
Bug fixes with E>2

0.3: The correlations are computed on the lagged vectors. Note: this departs from Sugihara et al.

0.2: Added the capability of analyzing time series limited to a few months per year

0.1: First version

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for pyccm, version 0.4
Filename, size File type Python version Upload date Hashes
Filename, size pyccm-0.4.tar.gz (5.4 kB) File type Source Python version None Upload date Hashes View hashes

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN SignalFx SignalFx Supporter DigiCert DigiCert EV certificate StatusPage StatusPage Status page