ThetaMater: Bayesian estimation of population size parameter θ from genomic data
Author(s) -
Richard H. Adams,
Drew R. Schield,
Daren C. Card,
Andrew B. Corbin,
Todd A. Castoe
Publication year - 2017
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btx733
Subject(s) - estimation , bayesian probability , computer science , population size , statistics , population , estimation theory , bayes' theorem , computational biology , econometrics , data mining , biology , artificial intelligence , mathematics , demography , engineering , sociology , systems engineering
We describe ThetaMater, an open source R package comprising a suite of functions for efficient and scalable Bayesian estimation of the population size parameter θ from genomic data.
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