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: |
0.2.2 |
| Depends: |
R (≥ 3.5) |
| Imports: |
ggplot2, glmmTMB, performance, Rdpack, scales, shiny, stats |
| Suggests: |
testthat (≥ 3.0.0) |
| Published: |
2026-05-01 |
| 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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