concentrated.likelihood: Compute the concentrated likelihood of a covariance matrix.
In SSM: Fit and Analyze Smooth Supersaturated Models
Description
Usage
Arguments
Value
Description
Computes the concentrated likelihood of the covariance matrix of an SSM
object, given a length parameter and the SSM Leave-One-Out errors.
Usage
1
concentrated.likelihood(r, ssm)
Arguments
r
A number. The length parameter of the correlation function.
ssm
An SSM object.
Value
A number. The concentrated likelihood.
SSM documentation built on May 1, 2019, 10:09 p.m.
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Description Usage Arguments Value
Description
Computes the concentrated likelihood of the covariance matrix of an SSM object, given a length parameter and the SSM Leave-One-Out errors.
Usage
1 | concentrated.likelihood(r, ssm)
|
Arguments
r |
A number. The length parameter of the correlation function. |
ssm |
An SSM object. |
Value
A number. The concentrated likelihood.
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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