Package: memoria
Title: Quantifying Ecological Memory in Palaeoecological Datasets and
        Other Long Time-Series
Version: 1.1.0
Authors@R: 
    person(given = "Blas M.", 
          family = "Benito", , 
          email = "blasbenito@gmail.com", 
          role = c("aut", "cre", "cph"),
           comment = c(ORCID = "0000-0001-5105-7232"))
Description: 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.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.3.3
Depends: R (>= 4.1.0)
Imports: ggplot2, ranger, zoo, rlang
Suggests: spelling, testthat
URL: https://blasbenito.github.io/memoria/
Language: en-US
Repository: https://blasbenito.r-universe.dev
Date/Publication: 2026-02-10 12:56:58 UTC
RemoteUrl: https://github.com/blasbenito/memoria
RemoteRef: HEAD
RemoteSha: 4291380964f464cc44670f83f8dc5695a919ff2b
NeedsCompilation: no
Packaged: 2026-06-10 07:46:24 UTC; root
Author: Blas M. Benito [aut, cre, cph] (ORCID:
    <https://orcid.org/0000-0001-5105-7232>)
Maintainer: Blas M. Benito <blasbenito@gmail.com>