Dear colleagues, I would to use hierarchical partitioning methods to evaluate variance contributions of different predictors as proposed by Chevan and Sutherland (1991) and Mac Nally (2000 & 2002), within a generalized linear mixed modelling framework. The standard package in R for hierarchical partioning is hier.part. However, the hier.part package only works within a generalized linear modelling framework. I was wondering wether there is any function out there that might perform hierarchical partioning for mixed models.
thanks in advance Best wishes, Alessandro Chevan, A. & Sutherland, M. (1991) Hierarchical partitioning. American Statistician, 45, 90–96. Mac Nally, R. (2000) Regression and model-building in conservation biology, biogeography and ecology: the distinction between–and reconciliation of–‘predictive’and ‘explanatory’models. Biodiversity and Conservation, 9, 655–671. Mac Nally, R. (2002) Multiple regression and inference in ecology and conservation biology: further comments on identifying important predictor variables. Biodiversity and Conservation, 11, 1397–1401. -- Alessandro Gherlenda Ecological Consultant-Bologna Italy _______________________________________________ R-sig-ecology mailing list R-sig-ecology@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-ecology
