abc (2.1)

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Tools for Approximate Bayesian Computation (ABC).

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.

Maintainer: Michael Blum
Author(s): Csillery Katalin [aut], Lemaire Louisiane [aut], Francois Olivier [aut], Blum Michael [aut, cre]

License: GPL (>= 3)

Uses: locfit, MASS, nnet, quantreg
Reverse depends: abctools, EasyABC
Reverse suggests: coala

Released almost 5 years ago.

9 previous versions



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Related packages: BACCO, BMA, BayHaz, BayesTree, BayesValidate, Bolstad, EbayesThresh, HI, Hmisc, LearnBayes, MCMCpack, MNP, R2WinBUGS, Runuran, arm, bayesm, bayesmix, bnlearn, boa, bqtl(20 best matches, based on common tags.)

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Visit abc on R Graphical Manual.