Package: spEDM 1.6

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:Wenbo Lv [aut, cre, cph]

spEDM_1.6.tar.gz
spEDM_1.6.zip(r-4.5)spEDM_1.6.zip(r-4.4)spEDM_1.6.zip(r-4.3)
spEDM_1.6.tgz(r-4.5-x86_64)spEDM_1.6.tgz(r-4.5-arm64)spEDM_1.6.tgz(r-4.4-x86_64)spEDM_1.6.tgz(r-4.4-arm64)spEDM_1.6.tgz(r-4.3-x86_64)spEDM_1.6.tgz(r-4.3-arm64)
spEDM_1.6.tar.gz(r-4.5-noble)spEDM_1.6.tar.gz(r-4.4-noble)
spEDM_1.6.tgz(r-4.4-emscripten)spEDM_1.6.tgz(r-4.3-emscripten)
spEDM.pdf |spEDM.html
spEDM/json (API)
NEWS

# Install 'spEDM' in R:
install.packages('spEDM', repos = c('https://stscl.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/stscl/spedm/issues

Pkgdown site:https://stscl.github.io

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library

On CRAN:

Conda:

causal-inferencecppempirical-dynamic-modelinggeoinformaticsgeospatial-causalityspatial-statisticsopenblascppopenmp

6.13 score 17 stars 2 scripts 235 downloads 6 exports 55 dependencies

Last updated 7 hours agofrom:2bd790a574. Checks:12 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 23 2025
R-4.5-win-x86_64OKMar 23 2025
R-4.5-mac-x86_64OKMar 23 2025
R-4.5-mac-aarch64OKMar 23 2025
R-4.5-linux-x86_64OKMar 23 2025
R-4.4-win-x86_64OKMar 23 2025
R-4.4-mac-x86_64OKMar 23 2025
R-4.4-mac-aarch64OKMar 23 2025
R-4.4-linux-x86_64OKMar 23 2025
R-4.3-win-x86_64OKMar 23 2025
R-4.3-mac-x86_64OKMar 23 2025
R-4.3-mac-aarch64OKMar 23 2025

Exports:detectThreadsembeddedgccmmultiviewsimplexsmap

Dependencies:bootclassclassIntclicolorspaceDBIdeldirdigestdplyre1071fansifarvergenericsgeosphereggplot2gluegtableisobandKernSmoothlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepanderpillarpkgconfigproxypurrrR6RColorBrewerRcppRcppArmadilloRcppThreadrlangs2scalessdsfunsfspspDataspdepterratibbletidyselectunitsutf8vctrsviridisLitewithrwk

Geographical Convergent Cross Mapping (GCCM)

Rendered fromGCCM.Rmdusingknitr::rmarkdownon Mar 23 2025.

Last update: 2025-03-21
Started: 2024-12-05

Readme and manuals

Help Manual

Help pageTopics
detect the number of available threadsdetectThreads
embedding spatial cross sectional dataembedded embedded,sf-method embedded,SpatRaster-method
geographical convergent cross mappinggccm gccm,sf-method gccm,SpatRaster-method
multiview embedding forecastmultiview multiview,sf-method multiview,SpatRaster-method
simplex forecastsimplex simplex,sf-method simplex,SpatRaster-method
smap forecastsmap smap,sf-method smap,SpatRaster-method