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

Documentation for package ‘memoria’ version 1.1.0

alignTimeSeries	Align and join multiple time series to a common temporal resolution
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 from the output of 'computeMemory'.
lagTimeSeries	Create lagged versions of time series variables
mergePalaeoData	Align and join multiple time series to a common temporal resolution
palaeodata	Dataframe with pollen and climate data.
palaeodataLagged	Lagged data generated by 'prepareLaggedData'.
palaeodataMemory	Output of 'computeMemory'
plotExperiment	Plots the output of 'runExperiment'.
plotMemory	Plots output of 'computeMemory'
pollen	Dataframe with pollen counts.
prepareLaggedData	Create lagged versions of time series variables
runExperiment	Computes ecological memory patterns on simulated pollen curves produced by the 'virtualPollen' package.