EasyABC
Efficient Approximate Bayesian Computation Sampling Schemes
Enables launching a series of simulations of a computer code from the R session, and to retrieve the simulation outputs in an appropriate format for post-processing treatments. Five sequential sampling schemes and three coupled-to-MCMC schemes are implemented.
- Version1.5.2
- R version≥ 2.14.0
- LicenseGPL-3
- Needs compilation?No
- Last release01/05/2023
Documentation
Team
Nicolas Dumoulin
Franck Jabot
Thierry Faure
Carlo Albert
Insights
Last 30 days
This package has been downloaded 364 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 4,633 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 31, 2024 with 50 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
- Depends1 package
- Imports5 packages
- Reverse Imports1 package