| logL.joint.single.R.zero.corr | R Documentation | 
Returns log-likelihood for a multivariate Unbiased Random Walk model with uncorrelated changes.
logL.joint.single.R.zero.corr(init.par, C, y, m, n, anc.values, yy)
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  | 
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.
The log-likelihood of the parameter estimates, given the data.
Kjetil Lysne Voje
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