Package: aghq
Type: Package
Title: Adaptive Gauss Hermite Quadrature for Bayesian Inference
Version: 0.4.1
Author: Alex Stringer
Maintainer: Alex Stringer <alex.stringer@uwaterloo.ca>
Description: 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>.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.2.1
Depends: R (>= 3.5.0)
Imports: methods, mvQuad, Matrix, rlang, polynom, splines, numDeriv
Suggests: trustOptim, trust, testthat (>= 2.1.0), parallel
Language: en-US
NeedsCompilation: no
Packaged: 2023-06-02 13:20:58 UTC; alexstringer
Repository: CRAN
Date/Publication: 2023-06-02 13:40:02 UTC
Built: R 4.6.0; ; 2026-04-27 06:17:28 UTC; unix
