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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.
Version: | 2.2.2 |
Depends: | R (≥ 2.10), abc.data, nnet, quantreg, MASS, locfit |
Published: | 2024-12-03 |
DOI: | 10.32614/CRAN.package.abc |
Author: | Csillery Katalin [aut], Lemaire Louisiane [aut], Francois Olivier [aut], Blum Michael [aut, cre] |
Maintainer: | Blum Michael <michael.blum.temp at gmail.com> |
License: | GPL (≥ 3) |
NeedsCompilation: | no |
Citation: | abc citation info |
Materials: | README |
In views: | Bayesian |
CRAN checks: | abc results |
Reference manual: | abc.pdf |
Vignettes: |
ABC (source, R code) |
Package source: | abc_2.2.2.tar.gz |
Windows binaries: | r-devel: abc_2.2.2.zip, r-release: abc_2.2.2.zip, r-oldrel: abc_2.2.2.zip |
macOS binaries: | r-release (arm64): abc_2.2.2.tgz, r-oldrel (arm64): abc_2.2.2.tgz, r-release (x86_64): abc_2.2.2.tgz, r-oldrel (x86_64): abc_2.2.2.tgz |
Old sources: | abc archive |
Reverse depends: | abctools, EasyABC |
Reverse imports: | ecolottery, MaxWiK, poems |
Reverse suggests: | coala |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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