memoria: Quantifying Ecological Memory in Palaeoecological Datasets and Other Long Time-Series
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.
| Version: | 1.1.0 |
| Depends: | R (≥ 4.1.0) |
| Imports: | ggplot2, ranger, zoo, rlang |
| Suggests: | spelling, testthat |
| Published: | 2026-02-10 |
| DOI: | 10.32614/CRAN.package.memoria |
| Author: | Blas M. Benito 
[aut, cre, cph] |
| Maintainer: | Blas M. Benito <blasbenito at gmail.com> |
| License: | MIT + file LICENSE |
| URL: | https://blasbenito.github.io/memoria/ |
| NeedsCompilation: | no |
| Language: | en-US |
| Citation: | memoria citation info |
| Materials: | NEWS |
| CRAN checks: | memoria results |
Documentation:
| Reference manual: | memoria.html , memoria.pdf |
Downloads:
| Package source: | memoria_1.1.0.tar.gz |
| Windows binaries: | r-devel: memoria_1.1.0.zip, r-release: memoria_1.1.0.zip, r-oldrel: memoria_1.1.0.zip |
| macOS binaries: | r-release (arm64): memoria_1.1.0.tgz, r-oldrel (arm64): memoria_1.1.0.tgz, r-release (x86_64): memoria_1.1.0.tgz, r-oldrel (x86_64): memoria_1.1.0.tgz |
| Old sources: | memoria archive |
Linking:
Please use the canonical form https://CRAN.R-project.org/package=memoria to link to this page.