rerun: Rerun an analysis
In andrewzm/INLA: Functions which allow to perform full Bayesian analysis of latent Gaussian models using Integrated Nested Laplace Approximaxion
Description
Usage
Arguments
Value
See Also
Examples
Description
Rerun inla on an
inla-object (output from link{inla})
Usage
1
2
inla.rerun(object, plain=FALSE)
Arguments
object
An inla-object, ie the output from an inla-call
plain
Logical. If FALSE (default), then make
changes in object to improve the performance
Value
This function will take the result in object, and rerun inla again.
If plain is FALSE, start the optimization from the mode in object so that
we can obtain an improvement the mode for the hyperparameters. Otherwise, start from the same configuration
as for object.
The returned value is an inla-object.
See Also
Examples
1
2
r = inla(y ~ 1, data = data.frame(y=1:10))
r = inla.rerun(r)
andrewzm/INLA documentation built on May 10, 2019, 11:12 a.m.
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Description Usage Arguments Value See Also Examples
Description
Rerun inla on an
inla-object (output from link{inla})
Usage
1 2 | inla.rerun(object, plain=FALSE)
|
Arguments
object |
An |
plain |
Logical. If |
Value
This function will take the result in object, and rerun inla again.
If plain is FALSE, start the optimization from the mode in object so that
we can obtain an improvement the mode for the hyperparameters. Otherwise, start from the same configuration
as for object.
The returned value is an inla-object.
See Also
Examples
1 2 | r = inla(y ~ 1, data = data.frame(y=1:10))
r = inla.rerun(r)
|
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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