logL.joint.single.R: Log-likelihoods for evolutionary models

In klvoje/evoTS: Analyses of Evolutionary Time-Series

Log-likelihoods for evolutionary models

Description

Returns log-likelihood for a multivariate Unbiased Random Walk model.

Usage

logL.joint.single.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

klvoje/evoTS documentation built on June 29, 2024, 10:26 p.m.