Package: spEDM 1.4
Wenbo Lv
spEDM: Spatial Empirical Dynamic Modeling
Inferring causal associations in cross-sectional earth system data through empirical dynamic modeling (EDM), with extensions to convergent cross mapping from Sugihara et al. (2012) <doi:10.1126/science.1227079>, partial cross mapping as outlined in Leng et al. (2020) <doi:10.1038/s41467-020-16238-0>, and cross mapping cardinality as described in Tao et al. (2023)<doi:10.1016/j.fmre.2023.01.007>.
Authors:
spEDM_1.4.tar.gz
spEDM_1.4.tar.gz(r-4.5-noble)spEDM_1.4.tar.gz(r-4.4-noble)
spEDM_1.4.tgz(r-4.4-emscripten)spEDM_1.4.tgz(r-4.3-emscripten)
spEDM.pdf |spEDM.html✨
spEDM/json (API)
NEWS
| # Install 'spEDM' in R: |
| install.packages('spEDM', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/stscl/spedm/issues
Pkgdown site:https://stscl.github.io
Last updated 10 days agofrom:6dfdec0d34. Checks:2 OK. Indexed: no.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Feb 10 2025 |
| R-4.5-linux-x86_64 | OK | Feb 10 2025 |
Exports:detectThreadsembeddedgccmsimplexsmap
Dependencies:bootclassclassIntclicolorspaceDBIdeldirdigestdplyre1071fansifarvergenericsgeosphereggplot2gluegtableisobandKernSmoothlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepanderpillarpkgconfigproxypurrrR6RColorBrewerRcppRcppArmadilloRcppThreadrlangs2scalessdsfunsfspspDataspdepterratibbletidyselectunitsutf8vctrsviridisLitewithrwk
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| detect the number of available threads | detectThreads |
| generate embeddings | embedded embedded,sf-method embedded,SpatRaster-method |
| geographical convergent cross mapping | gccm gccm,sf-method gccm,SpatRaster-method |
| simplex forecasting | simplex simplex,sf-method simplex,SpatRaster-method |
| smap forecasting | smap smap,sf-method smap,SpatRaster-method |
