HOF-package: Hierarchical logistic regression analysis

HOF-packageR Documentation

Hierarchical logistic regression analysis

Description

The HOF package provides functions for hierachical logistic regressions, extended to bimodal models and a bootstrap approach to guarantee model stability. Such hierarchical models are also known as HOF models (Huisman-Olff-Fresco 1993) and can be used e.g. to model species distribution along ecological gradients.

Details

The functions in the eHOF package contain tools to model Extended Huisman-Olff-Fresco-Models to bounded responses to any gradient. The gradients (x-values) are internally standardized to 0 to 1.

Binary as well as continous response values can be modelled.

Author(s)

Florian Jansen and Jari Oksanen

References

Huisman, J., Olff, H. & Fresco, L.F.M. (1993). A hierarchical set of models for species response analysis. Journal of Vegetation Science 4, 37-46. Jansen F, Oksanen J (2013) How to model species responses along ecological gradients - Huisman-Olff-Fresco models revisited. Journal of Vegetation Science. doi:10.1111/jvs.12050


eHOF documentation built on April 23, 2022, 1:05 a.m.