CRAN/E | aghq

aghq

Adaptive Gauss Hermite Quadrature for Bayesian Inference

Installation

About

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" .

Key Metrics

Version 0.4.1
R ≥ 3.5.0
Published 2023-06-02 326 days ago
Needs compilation? no
License GPL (≥ 3)
CRAN checks aghq results
Language en-US

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Maintainer

Maintainer

Alex Stringer

alex.stringer@uwaterloo.ca

Authors

Alex Stringer

Material

README
NEWS
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

aghq archive

Depends

R ≥ 3.5.0

Imports

methods
mvQuad
Matrix
rlang
polynom
splines
numDeriv

Suggests

trustOptim
trust
testthat ≥ 2.1.0
parallel