Data Only: Tools for Approximate Bayesian Computation (ABC)

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Documentation for package ‘abc.data’ version 1.1

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human 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).
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).
musigma2 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).
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).
ppc 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).
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).