mergePars

Output from one of the parallel calls in wtdMix()

Another output from one of the parallel calls in wtdMix()

For use in the parallel call in wtdMix()

Implementation of the 'bisque' strategy for approximate Bayesian posterior inference. See Hewitt and Hoeting (2019) <arXiv:1904.07270> for complete details. 'bisque' combines conditioning with sparse grid quadrature rules to approximate marginal posterior quantities of hierarchical Bayesian models. The resulting approximations are computationally efficient for many hierarchical Bayesian models. The 'bisque' package allows approximate posterior inference for custom models; users only need to specify the conditional densities required for the approximation.

Joshua Hewitt

mergePars: Merge pre-computed components of f(theta1 | theta2, X)

Description

Usage

Arguments