Log-likelihoods for evolutionary models — logL.joint.URW.URW • evoTS

Returns log-likelihood for a model with an Unbiased Random Walk in the first segment and an Unbiased Random Walk in the second segment.

Usage

logL.joint.URW.URW(p, y, gg)

Arguments

p: parameters of the model to be optimized
y: a paleoTS object
gg: numeric vector indicating membership of each sample in a segment

Value

The log-likelihood of the parameter estimates, given the data.

Details

In general, users will not access these functions directly, but instead use the optimization functions, which use these functions to find the best-supported parameter values.

Author

Kjetil Lysne Voje