logjac: Wrapper to abstractly evaluate log-Jacobian functions for...

In jmhewitt/bisque: Approximate Bayesian Inference via Sparse Grid Quadrature Evaluation (BISQuE) for Hierarchical Models

Description

Wrapper to abstractly evaluate log-Jacobian functions for transforms

Usage

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

jac.log, jac.logit

Examples

bisque:::logjac(1, 'logit', list(NA))

jmhewitt/bisque documentation built on Feb. 9, 2020, 2:36 a.m.