Description Usage Arguments Details Value Author(s) References Examples

This function calculates support values of species clusters delmited by the GMYC function using information-theoretic multimodel inference.

1 2 | ```
gmyc.support(object, p=0.95)
confset.gmyc(object, p=0.95)
``` |

`object` |
a gmyc object obtained by gmyc |

`p` |
level of confidence. models within p% confidence set are used to calculate support values |

The function `gmyc.support`

calculates support values of the GMYC-delimited species by using the multimodel comparison approach described by Burnham & Anderson (2002). The support value of a node is defined as the sum of Akaike weights of candidate delimitation models in which the node is included. Only models included in the p% confidence set obtained by `confset.gmyc`

are used for calculation. See reference papers for further details.

`gmyc.support`

returns a vector containing GMYC support values for tree nodes. Support values are ordered following the node order of input tree.
`confset.gmyc`

returns a gmyc object which contains models within p%confidence set.

Tomochika Fujisawa t.fujisawa05@gmail.com

Fujisawa, T. & Barraclough, TG. in press. Delimiting species using single-locus data and the generalized mixed Yule coalescent (GMYC) approach: A revised method and evaluation on simulated datasets. Systematic Biology.

Model selection and multimodel inference: A practical information-theoritic approach. 2nd ed. 2002. Springer Science. New York, USA.

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