logL.joint.OU.BM: Log-likelihoods for evolutionary models
In klvoje/evoTS: Analyses of Evolutionary Time-Series
logL.joint.OU.BM R Documentation
Log-likelihoods for evolutionary models
Description
Returns log-likelihood for an Ornstein-Uhlenbeck model where the optimum evolves as a Unbiased Random Walk. The movement of the optimum is not parameterized based on separate data.
Usage
logL.joint.OU.BM(p, y, opt.anc)
Arguments
p
parameters of the model to be optimized
y
a paleoTS object
opt.anc
logical, indicating if the ancestral trait value is at the optimum (TRUE) or displaced from the optimum (FALSE)
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
References
Hansen, T. F., Pienaar, J. & Orzack, S. H. A Comparative Method for Studying Adaptation to a Randomly Evolving Environment. Evolution 62, 1965–1977 (2008).
klvoje/evoTS documentation built on June 29, 2024, 10:26 p.m.
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| logL.joint.OU.BM | R Documentation |
Log-likelihoods for evolutionary models
Description
Returns log-likelihood for an Ornstein-Uhlenbeck model where the optimum evolves as a Unbiased Random Walk. The movement of the optimum is not parameterized based on separate data.
Usage
logL.joint.OU.BM(p, y, opt.anc)
Arguments
p |
parameters of the model to be optimized |
y |
a paleoTS object |
opt.anc |
logical, indicating if the ancestral trait value is at the optimum (TRUE) or displaced from the optimum (FALSE) |
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
References
Hansen, T. F., Pienaar, J. & Orzack, S. H. A Comparative Method for Studying Adaptation to a Randomly Evolving Environment. Evolution 62, 1965–1977 (2008).
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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