Package: synchrony 0.3.8
synchrony: Methods for Computing Spatial, Temporal, and Spatiotemporal Statistics
Methods for computing spatial, temporal, and spatiotemporal statistics as described in Gouhier and Guichard (2014) [https://doi.org/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_0.3.8.tar.gz
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synchrony.pdf |synchrony.html✨
synchrony/json (API)
NEWS
| # Install 'synchrony' in R: |
| install.packages('synchrony', repos = c('https://tgouhier.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 5 years agofrom:dfe873b29b. Checks:OK: 3 NOTE: 4. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 23 2024 |
| R-4.5-win | NOTE | Nov 23 2024 |
| R-4.5-linux | NOTE | Nov 23 2024 |
| R-4.4-win | NOTE | Nov 23 2024 |
| R-4.4-mac | NOTE | Nov 23 2024 |
| R-4.3-win | OK | Nov 23 2024 |
| R-4.3-mac | OK | Nov 23 2024 |
Exports:community.synccoord2distcorrelated.matrixfind.minmaxkendall.wlatlon2distmeancorrpeaksphase.partneredphase.syncplot.synchronyplot.varioplot.variofitsurrogate.tsvariovario.fitvario.func
Dependencies:
