All functions

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.