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Likelihood Based Optimal Partitioning and Indicator Species Analysis
Likelihood based optimal partitioning and indicator species analysis. Finding the best binary partition for each species based on model selection, with the possibility to take into account modifying/confounding variables as described in Kemencei et al. (2014)
- Version0.1-3
- R version≥ 3.1.0
- LicenseGPL-2
- Needs compilation?No
- Last release05/21/2024
Team
Peter Solymos
Ermias T. Azeria
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- Depends2 packages
- Imports5 packages