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 |
| 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-release: memoria_1.0.0.zip, r-oldrel: memoria_1.0.0.zip |
| macOS binaries: | r-release: memoria_1.0.0.tgz, r-oldrel: memoria_1.0.0.tgz |
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