logL.joint.multi.OUOU: Log-likelihoods for evolutionary models
In klvoje/evoTS: Analyses of Evolutionary Time-Series
logL.joint.multi.OUOU R Documentation
Log-likelihoods for evolutionary models
Description
Returns log-likelihood for a multivariate Ornstein-Uhlenbeck model.
Usage
logL.joint.multi.OUOU(init.par, yy, A.matrix, R.matrix)
Arguments
init.par
initial (starting) parameters values
yy
a multivariate evoTS object
A.matrix
the pull matrix.
R.matrix
the drift matrix..
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.
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.
| logL.joint.multi.OUOU | R Documentation |
Log-likelihoods for evolutionary models
Description
Returns log-likelihood for a multivariate Ornstein-Uhlenbeck model.
Usage
logL.joint.multi.OUOU(init.par, yy, A.matrix, R.matrix)
Arguments
init.par |
initial (starting) parameters values |
yy |
a multivariate evoTS object |
A.matrix |
the pull matrix. |
R.matrix |
the drift matrix.. |
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
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.