snp | R Documentation |

The simulated example of population genetics with SNP loci used in Pudlo et al.
(2016): `snp`

contains the reference table on which to perform ABC model choice, it also contains the simulated parameters to perform regression random forest.
`snp.obs`

contains two pseudo-observed data sets. The first one
(`favorable`

) should be easily allocated to a model, while that is not the case for the second one (`unfavorable`

).

data(snp) data(snp.obs)

`snp`

is a list containing an ABC reference table of 10,000
simulations from a Bayesian prior predictive model (see Pudlo et al., 2016, for a description of the model choice issue). The first element, named `modindex`

is a `factor`

containing the model indices, the second element, `param`

, is a data frame with seven simulated parameters. The last element of this list, named `sumsta`

, contains the reference table on which to perform ABC model choice and parameter estimation.

`snp.obs`

is a data frame containing the summary statistics of two pseudo-observed data sets.

Pudlo, P., Marin, J.-M., Estoup, A., Cornuet, J.-M., Gautier, M. and Robert, C.P. (2016)
*Reliable ABC model choice via random forests* Bioinformatics
doi: 10.1093/bioinformatics/btv684

data(snp) data(snp.obs)

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