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EasyABC

swMATH ID: 14379
Software Authors: Franck Jabot, Thierry Faure, Nicolas Dumoulin, Carlo Albert
Description: 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.
Homepage: https://cran.r-project.org/web/packages/EasyABC/index.html
Source Code: https://github.com/cran/EasyABC
Dependencies: R
Related Software: abc; R; astroABC; ABC-SysBio; ABCpy; synlik; gk; ABCtoolbox; al3c; PyTorch; ipyparallel; Dask; IPython; pyABC; ELFI; SWIG; SciPy; NumPy; Apache Spark; OpenMPI
Cited in: 6 Publications

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