# Quantifying Ecological Memory in Palaeoecological Datasets and Other Long Time-Series

## Documentation for package ‘memoria’ version 1.0.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

climate | Dataframe with palaeoclimatic data.
computeMemory | Quantifies ecological memory with Random Forest.
experimentToTable | Turns the outcome of 'runExperiment' into a long table.
extractMemoryFeatures | Extracts ecological memory features on the output of 'computeMemory'.
mergePalaeoData | Merges palaeoecological datasets with different time resolution.
palaeodata | Dataframe with pollen and climate data.
palaeodataLagged | Lagged data generated by 'prepareLaggedData'.
palaeodataMemory | Output of 'computeMemory'
plotExperiment | Plots the output of 'runExperiment'.
plotInteraction | Plots response surfaces for tree-based models.
plotMemory | Plots output of 'computeMemory'
pollen | Dataframe with pollen counts.
prepareLaggedData | Organizes time series data into lags.
runExperiment | Computes ecological memory patterns on simulated pollen curves produced by the 'virtualPollen' library.