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Line 284: \| [https://cran.r-project.org/web/packages/EasyABC/index.html EasyABC<br> R package] \| Several algorithms for performing efficient ABC sampling schemes, including 4 sequential sampling schemes and 3 MCMC schemes. \| <ref>{{cite journal \|title=EasyABC: performing efficient approximate Bayesian computation sampling schemes using R. \|last1=Jabot \|first1=F \|last2=Faure \|first2=T \|last3=Dumoulin \|first3=N \|doi=10.1111/2041-210X.12050 \|volume=4 \|issue = 7\|journal=Methods in Ecology and Evolution \|pages=684–687 \|year=2013\|doi-access=free }}</ref><ref>{{cite web \|url= https://cran.r-project.org/web/packages/EasyABC/vignettes/EasyABC.pdf \|title=EasyABC: a vignette \|last1=Jabot \|first1=F \|last2=Faure \|first2=T \|last3=Dumoulin \|first3=N \|date=2013-06-03 \|access-date=2016-07-19 \|archive-date=2016-08-18 \|archive-url=https://web.archive.org/web/20160818132912/https://cran.r-project.org/web/packages/EasyABC/vignettes/EasyABC.pdf \|url-status=dead }}</ref> \|- \| [http://www.theosysbio.bio.ic.ac.uk/resources/abc-sysbio ABC-SysBio]

Approximate Bayesian computation: Difference between revisions