| logL.joint.OU.BM {evoTS} | R Documentation |
Log-likelihoods for evolutionary models
Description
Returns log-likelihood for an Ornstein-Uhlenbeck model where the optimum evolves as a Unbiased Random Walk. The movement of the optimum is not parameterized based on separate data.
Usage
logL.joint.OU.BM(p, y, opt.anc)
Arguments
p |
parameters of the model to be optimized |
y |
a paleoTS object |
opt.anc |
logical, indicating if the ancestral trait value is at the optimum (TRUE) or displaced from the optimum (FALSE) |
Details
In general, users will not be access these functions directly, but instead use the optimization functions, which use these functions to find the best-supported parameter values.
Value
The log-likelihood of the parameter estimates, given the data.
Author(s)
Kjetil Lysne Voje
References
Hansen, T. F., Pienaar, J. & Orzack, S. H. A Comparative Method for Studying Adaptation to a Randomly Evolving Environment. Evolution 62, 1965–1977 (2008).