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

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

## Documentation for package ‘memoria’ version 1.1.0

- DESCRIPTION file
- Package NEWS

## Help Pages

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.