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"
- Version0.4.1
- R version≥ 3.5.0
- LicenseGPL (≥ 3)
- Needs compilation?No
- Languageen-US
- Last release06/02/2023
Documentation
Team
Alex Stringer
Insights
Last 30 days
This package has been downloaded 412 times in the last 30 days. Enough downloads to make a small wave in the niche community. The curiosity is spreading! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 19 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 4,626 times in the last 365 days. That's enough downloads to impress a room full of undergrads. A commendable achievement indeed. The day with the most downloads was Jul 21, 2024 with 69 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Imports5 packages
- Suggests3 packages
- Reverse Imports1 package