Package: abc 2.2.2

abc: 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.

Authors:Csillery Katalin [aut], Lemaire Louisiane [aut], Francois Olivier [aut], Blum Michael [aut, cre]

abc_2.2.2.tar.gz
abc_2.2.2.zip(r-4.5)abc_2.2.2.zip(r-4.4)abc_2.2.2.zip(r-4.3)
abc_2.2.2.tgz(r-4.5-any)abc_2.2.2.tgz(r-4.4-any)abc_2.2.2.tgz(r-4.3-any)
abc_2.2.2.tar.gz(r-4.5-noble)abc_2.2.2.tar.gz(r-4.4-noble)
abc_2.2.2.tgz(r-4.4-emscripten)abc_2.2.2.tgz(r-4.3-emscripten)
abc.pdf |abc.html
abc/json (API)

# Install 'abc' in R:
install.packages('abc', repos = c('https://mblumuga.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

6.94 score 1 stars 9 packages 410 scripts 1.6k downloads 28 mentions 7 exports 10 dependencies

Last updated 4 months agofrom:b9cbc1be3a. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKApr 02 2025
R-4.5-winOKApr 02 2025
R-4.5-macOKApr 02 2025
R-4.5-linuxOKApr 02 2025
R-4.4-winOKApr 02 2025
R-4.4-macOKApr 02 2025
R-4.4-linuxOKApr 02 2025
R-4.3-winOKApr 02 2025
R-4.3-macOKApr 02 2025

Exports:abccv4abccv4postprexpected.deviancegfitgfitpcapostpr

Dependencies:abc.datalatticelocfitMASSMatrixMatrixModelsnnetquantregSparseMsurvival

ABC

Rendered fromabcvignette.Rnwusingutils::Sweaveon Apr 02 2025.

Last update: 2024-12-03
Started: 2012-02-16