lambda.epsilon: Computes lambda_epsilon
In bcm-uga/apTreeshape: Analyses of Phylogenetic Treeshape

Description Usage Arguments Details Author(s) References

Internal function needed to simulate the ranked tree shape model

1	lambda.epsilon(epsilon, beta, n, upper = 10000)

`epsilon`	Minimum size of unsampled splits (see appendix 1)
`beta`	Imbalance index
`n`	Tip number
`upper`	Upper bound from the integral (see lambda_n expression, default to 10000)

λ_ε = 2 \int_(ε,∞) exp(-(β+n+1)x)(1-exp(-x))^β dx

Odile Maliet, Fanny Gascuel & Amaury Lambert

Maliet O., Gascuel F., Lambert A. (2018) Ranked tree shapes, non-random extinctions and the loss of phylogenetic diversity, bioRxiv 224295, doi: https://doi.org/10.1101/224295

bcm-uga/apTreeshape documentation built on Sept. 26, 2019, 4:56 p.m.