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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.
You can install the development version of poolABC
from
GitHub with:
# install.packages("devtools")
::install_github("joao-mcarvalho/poolABC") devtools
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.
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