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abc  

Tools for Approximate Bayesian Computation (ABC)
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("abc", "2.2.1")



Attach the package and use:
library("abc")
Maintained by
Blum Michael
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2010-10-05
Latest Update: 2022-05-19
Description:
Implements several ABC algorithms for performing parameter estimation, model selection, and goodness-of-fit. Cross-validation tools are also available for measuring the accuracy of ABC estimates, and to calculate the misclassification probabilities of different models.
How to cite:
Blum Michael (2010). abc: Tools for Approximate Bayesian Computation (ABC). R package version 2.2.1, https://cran.r-project.org/web/packages/abc. Accessed 06 Nov. 2024.
Previous versions and publish date:
1.0 (2010-10-05 10:45), 1.1 (2010-10-11 07:24), 1.2 (2011-01-15 17:23), 1.3 (2011-05-10 11:42), 1.4 (2011-09-04 07:18), 1.5 (2012-08-08 09:50), 1.6 (2012-08-14 18:27), 1.7 (2013-06-06 19:53), 1.8 (2013-10-29 14:33), 2.0 (2014-07-11 23:50), 2.1 (2015-05-05 11:34)
Other packages that cited abc R package
View abc citation profile
Other R packages that abc depends, imports, suggests or enhances
Complete documentation for abc
Functions, R codes and Examples using the abc R package
Some associated functions: abc . cv4abc . cv4postpr . expected.deviance . gfit . gfitpca . hist.abc . plot.abc . plot.cv4abc . plot.cv4postpr . plot.gfit . postpr . summary.abc . summary.cv4abc . summary.cv4postpr . summary.gfit . summary.postpr . 
Some associated R codes: abc.R . cv4abc.R . cv4postpr.R . expected.deviance.R . gfit.R . gfitpca.R . misc.R . postpr.R .  Full abc package functions and examples
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