Package: synchrony 0.3.9
synchrony: Methods for Computing Spatial, Temporal, and Spatiotemporal Statistics
Methods for computing spatial, temporal, and spatiotemporal statistics as described in Gouhier and Guichard (2014) <doi:10.1111/2041-210X.12188>. These methods include empirical univariate, bivariate and multivariate variograms; fitting variogram models; phase locking and synchrony analysis; generating autocorrelated and cross-correlated matrices.
Authors:
synchrony_0.3.9.tar.gz
synchrony_0.3.9.tar.gz(r-4.7-any)synchrony_0.3.9.tar.gz(r-4.6-any)
synchrony_0.3.9.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
synchrony/json (API)
| # Install 'synchrony' in R: |
| install.packages('synchrony', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/tgouhier/synchrony/issues
- bird.traits - Bird trait dataset
- pisco.data - PISCO multi-year and spatially-explicit mussel and environmental dataset
Last updated from:fa630d8e2f. Checks:4 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 112 | ||
| source / vignettes | OK | 122 | ||
| linux-release-x86_64 | OK | 110 | ||
| wasm-release | OK | 83 |
Exports:community.synccoord2distcorrelated.matrixfind.minmaxkendall.wlatlon2distmeancorrpeaksphase.partneredphase.syncplot.synchronyplot.varioplot.variofitsurrogate.tsvariovario.fitvario.func
Dependencies:
