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ecoXCorr: Lagged Cross-Correlation Analysis of Environmental Time Series
Tools for analysing lagged relationships between environmental variables and ecological or epidemiological time series. The package implements a workflow to aggregate meteorological data over multiple lagged intervals, fit regression models, including mixed-effect models using 'glmmTMB', for each lag window, and visualise varied models outcomes (effect strength and direction, model prediction error...) using cross-correlation maps ('CCM').
| Version: |
0.2.1 |
| Depends: |
R (≥ 3.5) |
| Imports: |
glmmTMB, ggplot2, stats, performance, Rdpack, shiny, scales |
| Suggests: |
testthat (≥ 3.0.0), readr |
| Published: |
2026-04-01 |
| DOI: |
10.32614/CRAN.package.ecoXCorr |
| Author: |
Nicolas Moiroux 
[aut, cre],
Colombine Bartholomée
[aut],
Paul Taconet
[aut] |
| Maintainer: |
Nicolas Moiroux <nicolas.moiroux at ird.fr> |
| BugReports: |
https://github.com/Nmoiroux/ecoXCorr/issues |
| License: |
GPL (≥ 3) |
| URL: |
https://github.com/Nmoiroux/ecoXCorr |
| NeedsCompilation: |
no |
| Citation: |
ecoXCorr citation info |
| Materials: |
README, NEWS |
| CRAN checks: |
ecoXCorr results |
Documentation:
Downloads:
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https://CRAN.R-project.org/package=ecoXCorr
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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