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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: | 2.2.1 |
| Depends: | R (≥ 2.10), abc.data, nnet, quantreg, MASS, locfit |
| Published: | 2022-05-19 |
| 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 |
| Package source: | abc_2.2.1.tar.gz |
| Windows binaries: | r-devel: abc_2.2.1.zip, r-release: abc_2.2.1.zip, r-oldrel: abc_2.2.1.zip |
| macOS binaries: | r-release (arm64): abc_2.2.1.tgz, r-oldrel (arm64): abc_2.2.1.tgz, r-release (x86_64): abc_2.2.1.tgz, r-oldrel (x86_64): abc_2.2.1.tgz |
| Old sources: | abc archive |
| Reverse depends: | abctools, EasyABC |
| Reverse imports: | ecolottery |
| 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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