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 |
Documentation:
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