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

Documentation for package ‘memoria’ version 1.0.0

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.