Description
Approximate Bayesian Computation with Pooled Sequencing Data.
Description
Provides functions to simulate Pool-seq data under models of demographic formation and to import Pool-seq data from real populations. Implements two ABC algorithms for performing parameter estimation and model selection using Pool-seq data. Cross-validation can also be performed to assess the accuracy of ABC estimates and model choice. Carvalho et al., (2022) <doi:10.1111/1755-0998.13834>.
README.md
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")