logL.joint.Stasis.OU: Log-likelihoods for evolutionary models
In klvoje/evoTS: Analyses of Evolutionary Time-Series
logL.joint.Stasis.OU R Documentation
Log-likelihoods for evolutionary models
Description
Returns log-likelihood for a model with stasis in the first segment and an Ornstein-Uhlenbeck process in the second segment. .
Usage
logL.joint.Stasis.OU(p, y, gg)
Arguments
p
parameters of the model to be optimized
y
a paleoTS object
gg
numeric vector indicating membership of each sample in a segment
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.
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| logL.joint.Stasis.OU | R Documentation |
Log-likelihoods for evolutionary models
Description
Returns log-likelihood for a model with stasis in the first segment and an Ornstein-Uhlenbeck process in the second segment. .
Usage
logL.joint.Stasis.OU(p, y, gg)
Arguments
p |
parameters of the model to be optimized |
y |
a paleoTS object |
gg |
numeric vector indicating membership of each sample in a segment |
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.
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