logLikeMle: Maximum likelihood for data.
In Lucaweihs/sBIC: Computing the Singular BIC for Multiple Models
Description
Computes the maximum likelihood of a model in the model poset for the
data set using the setData command.
Usage
1
logLikeMle(this, model, ...)
Arguments
this
the object representing the model poset.
model
the model for which the maximum likelihood should be computed.
...
further parameters to be passed to methods
starts
The number of starting values to be tried
Lucaweihs/sBIC documentation built on June 3, 2017, 3:34 a.m.
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Description
Computes the maximum likelihood of a model in the model poset for the data set using the setData command.
Usage
1 | logLikeMle(this, model, ...)
|
Arguments
this |
the object representing the model poset. |
model |
the model for which the maximum likelihood should be computed. |
... |
further parameters to be passed to methods |
starts |
The number of starting values to be tried |
Lucaweihs/sBIC documentation built on June 3, 2017, 3:34 a.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.
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