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- R. Genuera, J. Poggiab, and C. Tuleau-Malot, "Variable selection using random forests", Pattern Recognition Letters, 10.1016/j.patrec.2010.03.014, (2225-2236), (2010).
- Cosma Shalizi, Statistics 36-350: Data Mining, Lecture 22: Classification and Regression Trees
- R. MacNally et al., "[Model selection usning information cirteria, but is the "best" model any good?] (https://besjournals.onlinelibrary.wiley.com/doi/full/10.1111/1365-2664.13060)," Journal of Applied Ecology, 10.1111/1365-2664.13060 (2017).
- Y. Cao et al., "A method for measuring the comparibility of different sampling methods used in biological surveys: implications for data integration and synthesis," Freshwater Biology, 10.1111/j.1365-2427.2005.01377.x, (1105-1115), (2005)
- Y. Cao & C.P. Hawkins, "Weighting effective number of species measure by abundance weakens detection of diversity responses," Journal of Applied Ecology, 10.1111/1365-2664.13345, (2019)
- tree: Classification and Regression Trees
- randomForest: Classification and Regression with Random Forest
- VSURF: Variable Selection Using Random Forests
- vegan: Community Ecology Package
Primary Author: Lauren E. Hostert Contributed Tutorials and Scripts: Dr. Yong Cao, Jared Parker, and Dr. Tyler Schartel