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
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

Downloads:

Reference manual: memoria.pdf
Vignettes: Using memoria
Package source: memoria_1.0.0.tar.gz
Windows binaries: r-devel: memoria_1.0.0.zip, r-devel-gcc8: memoria_1.0.0.zip, r-release: memoria_1.0.0.zip, r-oldrel: memoria_1.0.0.zip
OS X binaries: r-release: memoria_1.0.0.tgz, r-oldrel: memoria_1.0.0.tgz

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