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ecoXCorr  

Lagged Cross-Correlation Analysis of Environmental Time Series
View on CRAN: Click here


Download and install ecoXCorr package within the R console
Install from CRAN:
install.packages("ecoXCorr")

Install from Github:
library("remotes")
install_github("cran/ecoXCorr")

Install by package version:
library("remotes")
install_version("ecoXCorr", "0.1.9")



Attach the package and use:
library("ecoXCorr")
Maintained by
Nicolas Moiroux
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-03-24
Latest Update: 2026-03-24
Description:
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').
How to cite:
Nicolas Moiroux (2026). ecoXCorr: Lagged Cross-Correlation Analysis of Environmental Time Series. R package version 0.1.9, https://cran.r-project.org/web/packages/ecoXCorr. Accessed 07 Aug. 2026.
Previous versions and publish date:
(2026-07-09 07:34), 0.1.9 (2026-03-24 09:40), 0.2.1 (2026-04-01 14:10)
Other packages that cited ecoXCorr R package
View ecoXCorr citation profile
Other R packages that ecoXCorr depends, imports, suggests or enhances
Complete documentation for ecoXCorr
Functions, R codes and Examples using the ecoXCorr R package
Full ecoXCorr package functions and examples
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