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:Adam Clark

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'))

Peer review:

Bug tracker:https://github.com/adamtclark/multispatialccm/issues

On CRAN:

3.32 score 5 stars 21 scripts 322 downloads 2 mentions 6 exports 0 dependencies

Last updated 1 years agofrom:6d318264b9. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 07 2024
R-4.5-win-x86_64OKNov 07 2024
R-4.5-linux-x86_64OKNov 07 2024
R-4.4-win-x86_64OKNov 07 2024
R-4.4-mac-x86_64OKNov 07 2024
R-4.4-mac-aarch64OKNov 07 2024
R-4.3-win-x86_64OKNov 07 2024
R-4.3-mac-x86_64OKNov 07 2024
R-4.3-mac-aarch64OKNov 07 2024

Exports:CCM_bootCCM_bootstrapccmtestmake_ccm_dataSSR_check_signalSSR_pred_boot

Dependencies: