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" <doi:10.48550/arXiv.2101.04468>.
Version: 0.4.1 Depends: R (≥ 3.5.0) Imports: methods, mvQuad, Matrix, rlang, polynom, splines, numDeriv Suggests: trustOptim, trust, testthat (≥ 2.1.0), parallel Published: 2023-06-02 DOI: 10.32614/CRAN.package.aghq Author: Alex Stringer Maintainer: Alex Stringer <alex.stringer at uwaterloo.ca> License: GPL (≥ 3) NeedsCompilation: no Language: en-US Materials: README, NEWS CRAN checks: aghq results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=aghq to link to this page.
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