rgw
Goodman-Weare Affine-Invariant Sampling
Implementation of the affine-invariant method of Goodman & Weare (2010) doi:10.2140/camcos.2010.5.65, a method of producing Monte-Carlo samples from a target distribution.
- Version0.3.0
- R versionunknown
- LicenseMIT
- Needs compilation?No
- Last release08/11/2020
Team
Adam Mantz
Insights
Last 30 days
This package has been downloaded 168 times in the last 30 days. More than a random curiosity, but not quite a blockbuster. Still, it's gaining traction! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 1 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 1,861 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The day with the most downloads was Sep 11, 2024 with 25 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