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

Tools to quantify ecological memory in long time-series with Random Forest models (Breiman 2001 <doi:10.1023/A:1010933404324>) fitted with the 'ranger' library (Wright and Ziegler 2017 <doi:10.18637/jss.v077.i01>). Particularly oriented to palaeoecological datasets and simulated pollen curves produced by the 'virtualPollen' package, but also applicable to other long time-series involving a set of environmental drivers and a biotic response.

Version: 1.0.0
Depends: R (≥ 2.10)
Imports: ggplot2, ranger, cowplot, viridis, viridisLite, zoo, stringr, HH, tidyr
Suggests: devtools, formatR, kableExtra, magrittr, knitr, rmarkdown, rpart, rpart.plot, randomForest, virtualPollen
Published: 2019-05-17
DOI: 10.32614/CRAN.package.memoria
Author: Blas M. Benito
Maintainer: Blas M. Benito <blasbenito at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: README NEWS
CRAN checks: memoria results


Reference manual: memoria.pdf
Vignettes: Using memoria


Package source: memoria_1.0.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): memoria_1.0.0.tgz, r-oldrel (arm64): memoria_1.0.0.tgz, r-release (x86_64): memoria_1.0.0.tgz, r-oldrel (x86_64): memoria_1.0.0.tgz


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