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EasyABC  

Efficient Approximate Bayesian Computation Sampling Schemes
View on CRAN: Click here


Download and install EasyABC package within the R console
Install from CRAN:
install.packages("EasyABC")

Install from Github:
library("remotes")
install_github("cran/EasyABC")

Install by package version:
library("remotes")
install_version("EasyABC", "1.5.2")



Attach the package and use:
library("EasyABC")
Maintained by
Nicolas Dumoulin
[Scholar Profile | Author Map]
First Published: 2012-11-20
Latest Update: 2023-01-05
Description:
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.
How to cite:
Nicolas Dumoulin (2012). EasyABC: Efficient Approximate Bayesian Computation Sampling Schemes. R package version 1.5.2, https://cran.r-project.org/web/packages/EasyABC. Accessed 06 Apr. 2025.
Previous versions and publish date:
1.0 (2012-11-20 14:13), 1.1 (2013-01-29 10:39), 1.2.2 (2013-06-04 09:43), 1.2 (2013-02-27 11:14), 1.3.1 (2014-04-04 17:34), 1.3 (2014-02-27 14:20), 1.4 (2014-12-17 10:45), 1.5 (2015-09-02 01:45)
Other packages that cited EasyABC R package
View EasyABC citation profile
Other R packages that EasyABC depends, imports, suggests or enhances
Complete documentation for EasyABC
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