POPS: A Software for Prediction of Population Genetic Structure Using Latent Regression Models

POPS: A Software for Prediction of Population Genetic Structure Using Latent Regression Models

The software POPS performs inference of population genetic structure using multilocus genotypic data. Based on a hierarchical Bayesian framework for latent regression models, POPS implements algorithms that improve estimation of individual admixture proportions and cluster membership probabilities b...

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Bibliographic Details
Main Authors: Flora Jay, Olivier François, Eric Y. Durand, Michael G. B. Blum
Format: Article
Language:English
Published: Foundation for Open Access Statistics 2015-12-01
Series:Journal of Statistical Software
Subjects:
latent class regression models
mixture models
MCMC
population genetic structure
environmental covariates
Online Access:https://www.jstatsoft.org/index.php/jss/article/view/2490

Internet

https://www.jstatsoft.org/index.php/jss/article/view/2490

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