ABC random forests for model choice and parameter estimation, pure C++ implementation
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Updated
Oct 7, 2024 - Jupyter Notebook
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model-choice
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Publication Materials for "Extending Approximate Bayesian Computation with Supervised Machine Learning to Infer Demographic History from Genetic Polymorphisms Using DIYABC Random Forest" in *Molecular Ecology Resources* special issue
machine-learning random-forest parameter-estimation shiny-apps population-genetics approximate-bayesian-computation model-choice
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Updated
Nov 26, 2021
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