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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.6 |
rolling linux/jammy R-4.5 | EasyABC_1.6.tar.gz |
850.7 KiB |
1.6 |
rolling linux/noble R-4.5 | EasyABC_1.6.tar.gz |
851.6 KiB |
1.6 |
rolling source/ R- | EasyABC_1.6.tar.gz |
544.9 KiB |
1.6 |
latest linux/jammy R-4.5 | EasyABC_1.6.tar.gz |
850.7 KiB |
1.6 |
latest linux/noble R-4.5 | EasyABC_1.6.tar.gz |
851.6 KiB |
1.6 |
latest source/ R- | EasyABC_1.6.tar.gz |
544.9 KiB |
1.6 |
2026-04-26 source/ R- | EasyABC_1.6.tar.gz |
544.9 KiB |
1.6 |
2026-04-23 source/ R- | EasyABC_1.6.tar.gz |
544.9 KiB |
1.6 |
2026-04-09 windows/windows R-4.5 | EasyABC_1.6.zip |
1.1 MiB |
1.5.2 |
2025-04-20 source/ R- | EasyABC_1.5.2.tar.gz |
51.5 KiB |