<?xml version="1.0" encoding="UTF-8"?>
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>Lagged Cross-Correlation Analysis of Environmental Time Series</dc:title>
  <dc:title>R package ecoXCorr version 0.2.1</dc:title>
  <dc: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').</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 3.5)</dc:relation>
  <dc:relation>Imports: glmmTMB, ggplot2, stats, performance, Rdpack, shiny, scales</dc:relation>
  <dc:relation>Suggests: testthat (&gt;= 3.0.0), readr</dc:relation>
  <dc:creator>Nicolas Moiroux &lt;nicolas.moiroux@ird.fr&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Nicolas Moiroux [aut, cre] (ORCID:
    &lt;https://orcid.org/0000-0001-6755-6167&gt;),
  Colombine Bartholomée [aut] (ORCID:
    &lt;https://orcid.org/0000-0001-7291-5195&gt;),
  Paul Taconet [aut] (ORCID: &lt;https://orcid.org/0000-0001-7429-7204&gt;)</dc:contributor>
  <dc:rights>GPL (&gt;= 3)</dc:rights>
  <dc:date>2026-04-01</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=ecoXCorr</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.ecoXCorr</dc:identifier>
</oai_dc:dc>
