Skip to content

memoria

1.1.0

Quantifying Ecological Memory in Palaeoecological Datasets and Other Long Time-Series

0packages depend
2.4Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Blas M. BenitoFirst published 2019-05-172 releasesCRAN page ↗

Quantifies ecological memory in long time-series using Random Forest models ('Benito', 'Gil-Romera', and 'Birks' 2019 doi:10.1111/ecog.04772) fitted with 'ranger' (Wright and Ziegler 2017 doi:10.18637/jss.v077.i01). Ecological memory is assessed by modeling a response variable as a function of lagged predictors, distinguishing endogenous memory (lagged response) from exogenous memory (lagged environmental drivers). Designed for palaeoecological datasets and simulated pollen curves from 'virtualPollen', but applicable to any long time-series with environmental drivers and a biotic response.

Install

Health

CRAN checks
13OK
Slowest check: 2.8 min · r-oldrel-macos-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
4
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesNopkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
60%
Documented parameters
100%
Return-value docs
100%
References docs
8%

Downloads

2.4K
CRAN downloads in the past year
Rank #17,932 · ~7/day · ~204/mo
Daily download trend is not available in this view yet.
16130 days
62390 days
2.4K1 year
Compare downloads with other packages →
Also on129 r2u23 autocran

Repository

Repository
1Stars
0Forks
0Open issues
0Open PRs
1Releases
50Commits
1Contributors
50 commits · Last activity 2026-02-10

Stars over time

2022-01-19 · 12026-07-07 · 1

Repository practices

Upstream repositoryBeta

5 development-tooling and community-health practices detected across 4 families in the upstream repository

Checks run against github.com/blasbenito/memoria on 2026-08-23.

Continuous integration (1)
GitHub Actions
CRAN release process (2)
cran-comments.mdCRAN-SUBMISSION
Docs source (1)
README.Rmd
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v1 (2026-07-18)

Development tooling

AI-assisted toolingBeta

Uses AI-assisted development tooling (declared in repo)

Earliest detected marker: claude on 2026-01-27

claude

Most recent: claude on 2026-01-27

Evidence
  • claude: on 2026-01-27 · evidence B, D
How this is detected·Detection ruleset v2 (updated 2026-07-29)

Dependencies

Declared dependencies
6 external dependencies (excludes base and recommended)
Depends (1)
R >= 4.1.0
LinkingTo (0)
none
Suggests (2)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (1)
Maintainer (1)
Author, Maintainer, Copyright holder
Authors (1)
Author, Maintainer, Copyright holder
Copyright holders (1)
Author, Maintainer, Copyright holder
Package Timeline

2 releases. Pick two to compare their code metrics. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • 1.1.0Latest
    2026-02-10 · current release · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • 1.0.0
    2019-05-17
  • R
    R 3.6.0 released · 2019-04-26

Package metadata

First published
2019-05-17
Total releases
2 / 7 yrs
License
MIT + file LICENSE OSI
Minimum R
≥ 4.1.0
Bundled data
578 KB / 5 files
Download size
792 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("memoria")
Benito, B. M. (2026). memoria: Quantifying Ecological Memory in Palaeoecological Datasets and Other Long Time-Series (Version 1.1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.memoria

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

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 memoria version 1.1.0 [Data set]. HJJB, LLC. Data release v2026-08-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

Report a problem with this page →

Privacy choices

These apply to this browser and are stored on this device only. Nothing about your choice is sent to us.

Read the privacy policy