Estimating and Modelling Bias of the Hierarchical Partitioning Public-Domain Software: Implications in Environmental Management and Conservation

@inproceedings{Olea2010EstimatingAM,
  title={Estimating and Modelling Bias of the Hierarchical Partitioning Public-Domain Software: Implications in Environmental Management and Conservation},
  author={Pedro P. Olea and Patricia Mateo-Tom{\'a}s and {\'A}ngel de Frutos},
  booktitle={PloS one},
  year={2010}
}
BACKGROUND Hierarchical partitioning (HP) is an analytical method of multiple regression that identifies the most likely causal factors while alleviating multicollinearity problems. Its use is increasing in ecology and conservation by its usefulness for complementing multiple regression analysis. A public-domain software "hier.part package" has been developed for running HP in R software. Its authors highlight a "minor rounding error" for hierarchies constructed from >9 variables, however… CONTINUE READING
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