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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