Characterization of changes in variance; includes quantile regression Quantile regression trees and quantile regression splines Predictors can be categorical or continuous; response can be Recursive partitioning univariate (classification and regression tree [CART]) or multivariate (regression (multivariate regression tree [MRT]); referred to as regression tree tree) analysis Regime shift detection Find shifts in temporal data series Significant zero crossings Derivative-based nonparametric approach using a smoothing function (SiZer) Indicates changes in community structure across a gradient, a form of Threshold Indicator Taxa nonparametric changepoint analysis combined with indicator species Analysis (TITAN) analysis Two-dimensional A nonparametric test for changes in variance; predicts a threshold in Kolmogorov–Smirnov test the driver and the response variable
Quantile regression Characterization of changes in variance; includes quantile regression trees and quantile regression splines Recursive partitioning (regression tree) Predictors can be categorical or continuous; response can be univariate (classification and regression tree [CART]) or multivariate (multivariate regression tree [MRT]); referred to as regression tree analysis Regime shift detection Find shifts in temporal data series Significant zero crossings (SiZer) Derivative-based nonparametric approach using a smoothing function Threshold Indicator Taxa Analysis (TITAN) Indicates changes in community structure across a gradient, a form of nonparametric changepoint analysis combined with indicator species analysis Two-dimensional Kolmogorov–Smirnov test A nonparametric test for changes in variance; predicts a threshold in the driver and the response variable