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poolABC

The goal of poolABC is to help users perform model choice and parameter inference using Pool-seq data integrated into an Approximate Bayesian Computation (ABC) framework. This package provides functions to simulate Pool-seq data under models of ecotype formation and to import Pool-seq data from real populations. Two ABC algorithms are implemented to perform parameter estimation and model selection using Pool-seq data. Cross-validation can also be performed to assess the accuracy of ABC estimates and calculate model misclassification.

Installation

You can install the development version of poolABC from GitHub with:

# install.packages("devtools")
devtools::install_github("joao-mcarvalho/poolABC")

Alternatively, you can install the current stable version of poolABC from CRAN:

install.packages("poolABC")

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.