Package: multispatialCCM 1.3
multispatialCCM: Multispatial Convergent Cross Mapping
The multispatial convergent cross mapping algorithm can be used as a test for causal associations between pairs of processes represented by time series. This is a combination of convergent cross mapping (CCM), described in Sugihara et al., 2012, Science, 338, 496-500, and dew-drop regression, described in Hsieh et al., 2008, American Naturalist, 171, 71–80. The algorithm allows CCM to be implemented on data that are not from a single long time series. Instead, data can come from many short time series, which are stitched together using bootstrapping.
Authors:
multispatialCCM_1.3.tar.gz
multispatialCCM_1.3.zip(r-4.5)multispatialCCM_1.3.zip(r-4.4)multispatialCCM_1.3.zip(r-4.3)
multispatialCCM_1.3.tgz(r-4.4-x86_64)multispatialCCM_1.3.tgz(r-4.4-arm64)multispatialCCM_1.3.tgz(r-4.3-x86_64)multispatialCCM_1.3.tgz(r-4.3-arm64)
multispatialCCM_1.3.tar.gz(r-4.5-noble)multispatialCCM_1.3.tar.gz(r-4.4-noble)
multispatialCCM_1.3.tgz(r-4.4-emscripten)multispatialCCM_1.3.tgz(r-4.3-emscripten)
multispatialCCM.pdf |multispatialCCM.html✨
multispatialCCM/json (API)
# Install 'multispatialCCM' in R: |
install.packages('multispatialCCM', repos = c('https://adamtclark.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/adamtclark/multispatialccm/issues
Last updated 1 years agofrom:6d318264b9. Checks:OK: 9. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 07 2024 |
R-4.5-win-x86_64 | OK | Nov 07 2024 |
R-4.5-linux-x86_64 | OK | Nov 07 2024 |
R-4.4-win-x86_64 | OK | Nov 07 2024 |
R-4.4-mac-x86_64 | OK | Nov 07 2024 |
R-4.4-mac-aarch64 | OK | Nov 07 2024 |
R-4.3-win-x86_64 | OK | Nov 07 2024 |
R-4.3-mac-x86_64 | OK | Nov 07 2024 |
R-4.3-mac-aarch64 | OK | Nov 07 2024 |
Exports:CCM_bootCCM_bootstrapccmtestmake_ccm_dataSSR_check_signalSSR_pred_boot
Dependencies:
Readme and manuals
Help Manual
Help page | Topics |
---|---|
multispatial convergent cross mapping analysis | multispatialCCM-package multispatialCCM |
Run multispatial CCM algorithm on two time series | CCM_boot |
Run multispatial CCM algorithm on two time series | CCM_bootstrap |
Test for significant causal signal | ccmtest |
Makes fake data for other functions | make_ccm_data |
Test process for auto-predictability. | SSR_check_signal |
State space reconstruction function | SSR_pred_boot |