memoria: Quantifying Ecological Memory in Palaeoecological Datasets andOther 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 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 formhttps://CRAN.R-project.org/package=memoriato link to this page.