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 gmail.com> License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] NeedsCompilation: no Materials: README NEWS CRAN checks: memoria results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=memoria to link to this page.
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