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 |
| Reference manual: | aghq.pdf |
| Package source: | aghq_0.4.1.tar.gz |
| Windows binaries: | r-devel: aghq_0.4.1.zip, r-release: aghq_0.4.1.zip, r-oldrel: aghq_0.4.1.zip |
| macOS binaries: | r-release (arm64): aghq_0.4.1.tgz, r-oldrel (arm64): aghq_0.4.1.tgz, r-release (x86_64): aghq_0.4.1.tgz, r-oldrel (x86_64): aghq_0.4.1.tgz |
| Old sources: | aghq archive |
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