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aghq: Adaptive Gauss Hermite Quadrature for Bayesian Inference
Adaptive Gauss Hermite Quadrature for Bayesian inference. The AGHQ method for normalizing posterior distributions and making Bayesian inferences based on them. Functions are provided for doing quadrature and marginal Laplace approximations, and summary methods are provided for making inferences based on the results. See Stringer (2021). "Implementing Adaptive Quadrature for Bayesian Inference: the aghq Package" <arXiv:2101.04468>.
Getting started
Browse package contents
Package details |
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| Author | Alex Stringer |
| Maintainer | Alex Stringer <alex.stringer@uwaterloo.ca> |
| License | GPL (>= 3) |
| Version | 0.4.1 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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