Log-likelihoods for evolutionary models

Returns log-likelihood for an Unbiased Random Walk with an accelerating or decelerating rate of change through time.

Usage

logL.joint.accel_decel(p, y)

Arguments

p

parameters of the model to be optimized

y

a paleoTS object

Value

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

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.

Author

Kjetil Lysne Voje