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ecoXCorr needs insight (through performance), which CRAN will archive unless its check problems are fixed by Nov 14.

ecoXCorr

0.2.2Package record

Lagged Cross-Correlation Analysis of Environmental Time Series

0packages depend
2.8Kdownloads / year
31.1%test coverage
13/13flavors OK

Overview

About

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').

Changes in 0.2.2

Bug fixes

  • Correct default value for arg shift in ecoXCorr() function (from -1 to 1)

Improvements

  • Correct R code output of the shiny app.

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 3.6 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-09
  • ERROR12 OK, 1 ERROR2026-06-08
  • OK7 OK2026-03-25
Advisories

none known

Documentation

In release 0.2.2
READMEYes · 1,285 wordsVignettesNoNEWSYes · 100% structured · mentions 0.2.2Citation fileYes · software entry onlyWebsitenot declared in DESCRIPTION
Help pages
8 (1 internal)includes a package overview page
Examples that run
100%4 run in a plain check
Exported functions with examples
80%
Documented parameters
93%
Return-value docs
100%
Help pages citing references
38% with a bibliography file

Downloads

2.8K
CRAN downloads in the past year
Rank #14,404 · ~8/day · ~230/mo
Daily download trend is not available in this view yet.
26830 days
83190 days
2.8K1 year
Compare downloads with other packages →
Also on64 r2u3 autocran

Repository

1Stars
0Forks
0Open issues
0Open PRs
13Releases
178Commits
1Commit identities
178 commits · Last activity 2026-05-01 · 0% stars, 30d
Responsiveness
How these are sampled
PRs merged (all time)
100%
Median days to close, 50 most recently updated closed issues
0
Median days to close, 50 most recently updated closed PRs
0

Stars over time

2026-04-17 · 12026-07-07 · 1
PracticesBeta

3 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/nmoiroux/ecoxcorr on 2026-10-21.

Continuous integration (1)
GitHub Actions
Reproducibility and dev environment (1)
data-raw/
Research and citation (1)
CITATION.cff
How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies
7 external dependencies (excludes base and recommended)

Installing ecoXCorr adds 83 packages (47 with compiled code, 86 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, bslib 5.6 MB.

Depends (1)
R >= 3.5
LinkingTo (0)
none
Suggests (1)
Enhances (0)
none
Dependencies facing archival

CRAN will archive these unless their check problems are fixed by the date shown. This package needs each one to install.

Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (3)
Author, Maintainer since 0.1.9 (2026)
Releases (3)

Pick two releases to compare their code metrics.

  • 0.2.2Latest
    record
    2026-05-01 · current release · diff ↗
  • R
    R 4.6.0 released · 2026-04-24
  • 0.2.1
    record
    2026-04-01 · diff ↗
  • 0.1.9
    record
    2026-03-24
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2026-03-24
Total releases
3 / 1 yrs
License
GPL (>= 3) OSI
Minimum R
≥ 3.5
Bundled data
14 KB / 2 files
Download size
162 KB

Cite

Cite this package

Run in R for the authors' entry:

citation("ecoXCorr")

The package provides a citation file, so citation() returns the authors' own entry.

It points to 10.5281/zenodo.18600567.

The repository also keeps a CITATION.cff.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for ecoXCorr version 0.2.2 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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