Archive | 2021
A global variable-permutation based approach for estimating tree transformation parameters used in phylogenetically controlled multivariate regression v1
Abstract
This protocol provides a method to realize phylogenetic control in multivariate regression modeling while estimating tree transformation parameters en route. The protocol requires compiling a list of all possible variable combinations (at multiple model lengths) and iterating through these while estimating the transformation parameters along side the regression. A combination of AIC and the coefficient of determination can be used, for example, to select the best model from numerous possible model lengths. The average of the tree transformation parameters can then be used on these best models to perform the final phylogenetically controlled multivariate regression.