# Data Only: Tools for Approximate Bayesian Computation (ABC)

## Documentation for package ‘abc.data’ version 1.1

- DESCRIPTION file

## Help Pages

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).