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.