Adaptive Gauss Hermite Quadrature for Bayesian Inference R package aghq version 0.4.1 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>. Software Depends: R (>= 3.5.0) Imports: methods, mvQuad, Matrix, rlang, polynom, splines, numDeriv Suggests: trustOptim, trust, testthat (>= 2.1.0), parallel Alex Stringer <alex.stringer@uwaterloo.ca> Comprehensive R Archive Network (CRAN) Alex Stringer GPL (>= 3) 2023-06-02 application/tgz https://CRAN.R-project.org/package=aghq doi:10.32614/CRAN.package.aghq en-US