diet: The Diet Package

In pkuhnert/diet: Performs an analysis of diet data using univariate trees

The Diet Package

Description

The diet package builds on two primary R packages for analysing compositional diet data. The first is a diet tree analysis called dpart, which takes a predator-prey response and builds a classification tree (Breiman et al. 1984) using the recursive partitioning algorithm available in the rpart R package (Therneau and Atkinson 1997) and outlined in Kuhnert et al.(2012). The second is an isotope analysis called igam, that fits a Generalized Additive Model (GAM) using the mgcv package developed by Simon Wood (2006). Together, these primary functions comprise the diet package which allows researchers to analyse trophic ecology data, form predictions, understand the variation in the data and determine what predictors, if any, can lead to changes in diet characteristics.

Details

Package: diet Type: Package Version: 1.0 Date: 2018-09-19 License: GPL LazyLoad: yes

Author(s)

Petra Kuhnert and Leanne Duffy

References

Breiman, L., Friedman, J.H., Olshen, R.A. and Stone, C.J. (1984) Classification and Regression Trees. Wadsworth International.

Kuhnert, P.M., Duffy, L.M., Young, J.W. and Olson, R.J. (2012) Predicting fish diet composition using a bagged classification tree approach: a case study using yellowfin tuna (Thunnus albacares), Marine Biology, 159, 87-100.

Kuhnert, P.M., Duffy, L. M and Olson, R.J. (2012) The Analysis of Predator Diet and Stable Isotope Data, Journal of Statistical Software, In Prep.

Therneau, T.M. and Atkinson, E.J. (1997) Recursive Partitioning using the RPART Routines, Mayo Foundation.

Wood, S. (2006) Generalized Additive Models: An introduction with R, Chapman and Hall, New York.

See Also

rpart; gam

pkuhnert/diet documentation built on June 10, 2025, 2:59 a.m.