Package: abc.data 1.1

abc.data: Data Only: Tools for Approximate Bayesian Computation (ABC)

Contains data which are used by functions of the 'abc' package.

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

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abc.data.pdf |abc.data.html
abc.data/json (API)

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

Peer review:

Datasets:
  • models - A set of R objects containing observed data from three human populations, and simulated data under three different demographic models. The data set is used to illustrate model selection and parameter inference in an ABC framework (see the vignette of the 'abc' package for more details).
  • par.italy.sim - A set of R objects containing observed data from three human populations, and simulated data under three different demographic models. The data set is used to illustrate model selection and parameter inference in an ABC framework (see the vignette of the 'abc' package for more details).
  • par.sim - A set of objects used to estimate the population mean and variance in a Gaussian model with ABC (see the vignette of the 'abc' package for more details).
  • post.bott - Data to illustrate the posterior predictive checks for the data 'human'. 'ppc' and 'human' are used to illustrate model selection and parameter inference in an ABC framework (see the vignette of the 'abc' package for more details).
  • post.mu - A set of objects used to estimate the population mean and variance in a Gaussian model with ABC (see the vignette of the 'abc' package for more details).
  • post.sigma2 - A set of objects used to estimate the population mean and variance in a Gaussian model with ABC (see the vignette of the 'abc' package for more details).
  • stat.3pops.sim - A set of R objects containing observed data from three human populations, and simulated data under three different demographic models. The data set is used to illustrate model selection and parameter inference in an ABC framework (see the vignette of the 'abc' package for more details).
  • stat.obs - A set of objects used to estimate the population mean and variance in a Gaussian model with ABC (see the vignette of the 'abc' package for more details).
  • stat.sim - A set of objects used to estimate the population mean and variance in a Gaussian model with ABC (see the vignette of the 'abc' package for more details).
  • stat.voight - A set of R objects containing observed data from three human populations, and simulated data under three different demographic models. The data set is used to illustrate model selection and parameter inference in an ABC framework (see the vignette of the 'abc' package for more details).

On CRAN:

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

0 exports 4.07 score 0 dependencies 6 dependents 28 mentions 5 scripts 1.1k downloads

Last updated 6 months agofrom:5857e4110d. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 22 2024
R-4.5-winOKAug 22 2024
R-4.5-linuxOKAug 22 2024
R-4.4-winOKAug 22 2024
R-4.4-macOKAug 22 2024
R-4.3-winOKAug 22 2024
R-4.3-macOKAug 22 2024

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Dependencies: