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-4.7)multispatialCCM_1.3.zip(r-4.6)multispatialCCM_1.3.zip(r-4.5)
multispatialCCM_1.3.tgz(r-4.6-x86_64)multispatialCCM_1.3.tgz(r-4.6-arm64)multispatialCCM_1.3.tgz(r-4.5-x86_64)multispatialCCM_1.3.tgz(r-4.5-arm64)
multispatialCCM_1.3.tar.gz(r-4.7-arm64)multispatialCCM_1.3.tar.gz(r-4.7-x86_64)multispatialCCM_1.3.tar.gz(r-4.6-arm64)multispatialCCM_1.3.tar.gz(r-4.6-x86_64)
multispatialCCM_1.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
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

On CRAN:

Conda:

3.70 score 11 stars 23 scripts 216 downloads 2 mentions 6 exports 0 dependencies

Last updated from:6d318264b9. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK115
linux-devel-x86_64OK149
source / vignettesOK129
linux-release-arm64OK167
linux-release-x86_64OK115
macos-release-arm64OK75
macos-release-x86_64OK292
macos-oldrel-arm64OK98
macos-oldrel-x86_64OK240
windows-develOK60
windows-releaseOK54
windows-oldrelOK65
wasm-releaseOK104

Exports:CCM_bootCCM_bootstrapccmtestmake_ccm_dataSSR_check_signalSSR_pred_boot

Dependencies: