Computation of Multiscale Codependence Analysis (MCA) and eigenvector maps, as an additional feature.
MCA is useful study the relationships between variables that are expected to occur at specific (spatial, temporal, phylogenetic, and so on) scales.
MCA quantifies and test the joint spatial/temporal trends between variables. These trends are described by eigenvector maps. The analysis may involve one or more response variable(s) and multiple scales. The explanatory variables are related to the response through an exclusive set of the eigenvectors in the map.
Maintained by Guillaume Guénard – Université de Montréal
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