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 ) fitted with the 'ranger' library (Wright and Ziegler 2017 ). 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.


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install.packages("memoria")

1.0.0 by Blas M. Benito, 4 months ago


Browse source code at https://github.com/cran/memoria


Authors: Blas M. Benito


Documentation:   PDF Manual  


GPL (>= 2) license


Imports ggplot2, ranger, cowplot, viridis, viridisLite, zoo, stringr, HH, tidyr

Suggests devtools, formatR, kableExtra, magrittr, knitr, rmarkdown, rpart, rpart.plot, randomForest, virtualPollen


See at CRAN