Returns log-likelihood for a multivariate Unbiased Random Walk model fitted to separate segments of a multivariate time series.
logL.joint.multi.R(init.par, C, y, m, n, anc.values, yy)The log-likelihood of the parameter estimates, given the data.
initial (starting) parameters values
distance matrix
vector containing all trait values from all traits
number of traits
number of populations
initial values for the ancestral trait values
a multivariate evoTS object
Kjetil Lysne Voje
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.