logL.joint.multi.R {evoTS}

Log-likelihoods for evolutionary models

Description

Returns log-likelihood for a multivariate Unbiased Random Walk model fitted to separate segments of a multivariate time series.

Usage

logL.joint.multi.R(init.par, C, y, m, n, anc.values, yy)

Arguments

init.par

initial (starting) parameters values

C

distance matrix

y

vector containing all trait values from all traits

m

number of traits

n

number of populations

anc.values

initial values for the ancestral trait values

yy

a multivariate evoTS object

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