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
NeedsCompilation: no
Packaged: 2026-02-10 08:31:00 UTC; blas
Author: Blas M. Benito [aut, cre, cph] (ORCID:
    <https://orcid.org/0000-0001-5105-7232>)
Maintainer: Blas M. Benito <blasbenito@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-10 08:40:02 UTC
Built: R 4.6.0; ; 2026-04-26 08:42:28 UTC; unix
