logjac: Wrapper to abstractly evaluate log-Jacobian functions for...
In bisque: Approximate Bayesian Inference via Sparse Grid Quadrature Evaluation (BISQuE) for Hierarchical Models
Description
Usage
Arguments
See Also
Examples
Description
Wrapper to abstractly evaluate log-Jacobian functions for transforms
Usage
1
logjac(x, link, linkparams)
Arguments
x
values at which to evaluate J(x)
link
Character vector specifying link function for which the
inverse link function should be evaluated. Supports 'identity',
'log', and 'logit'.
linkparams
Optional list of additional parameters for link functions.
For example, the logit function can be extended to allow mappings to any
closed interval. There should be one list entry for each link function.
Specify NA if defaults should be used.
See Also
Examples
1
bisque documentation built on March 26, 2020, 7:27 p.m.
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Description Usage Arguments See Also Examples
Description
Wrapper to abstractly evaluate log-Jacobian functions for transforms
Usage
1 | logjac(x, link, linkparams)
|
Arguments
x |
values at which to evaluate J(x) |
link |
Character vector specifying link function for which the
inverse link function should be evaluated. Supports |
linkparams |
Optional list of additional parameters for link functions. For example, the logit function can be extended to allow mappings to any closed interval. There should be one list entry for each link function. Specify NA if defaults should be used. |
See Also
Examples
1 |
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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