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A global variable-permutation based approach for estimating tree transformation parameters used in phylogenetically controlled multivariate regression v1
[post]
2021
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
doi:10.17504/protocols.io.bzdhp236
fatcat:crgrwrporjem3ej53oneyd6kji