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>.

Version: 0.1.0
Depends: R (≥ 3.5.0)
Imports: methods, mvQuad, matrixStats, Matrix, stringr, magrittr, dplyr, tidyr, tidyselect, rlang, polynom, tibble, purrr
Suggests: trustOptim, trust, numDeriv, testthat (≥ 2.1.0), knitr, rmarkdown, ggplot2
Published: 2021-01-18
Author: Alex Stringer
Maintainer: Alex Stringer <alex.stringer at mail.utoronto.ca>
License: MIT + file LICENSE
NeedsCompilation: no
Language: en-US
Materials: README
CRAN checks: aghq results

Downloads:

Reference manual: aghq.pdf
Vignettes: aghq
Package source: aghq_0.1.0.tar.gz
Windows binaries: r-devel: aghq_0.1.0.zip, r-release: aghq_0.1.0.zip, r-oldrel: aghq_0.1.0.zip
macOS binaries: r-release: aghq_0.1.0.tgz, r-oldrel: aghq_0.1.0.tgz

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