Bayesian multivariate receptor modeling software: BNFA and bayesMRM
- 주제(키워드) Bayesian factor analysis , JAGS , MATLAB , Multivariate receptor modeling , R , Software , Source apportionment
- 등재 SCIE, SCOPUS
- 발행기관 Elsevier B.V.
- 발행년도 2021
- 총서유형 Journal
- URI http://www.dcollection.net/handler/ewha/000000181697
- 본문언어 영어
- Published As http://dx.doi.org/10.1016/j.chemolab.2021.104280
초록/요약
We present user-friendly software tools to implement Bayesian multivariate receptor modeling in the form of a MATLAB function (BNFA) and an R package (bayesMRM). A basic model and a Markov chain Monte Carlo algorithm underlying BNFA and bayesMRM are given. An example of implementation based on real air pollution data is also provided. Users can freely choose between BNFA and bayesMRM depending on their computing platform. These tools are expected to facilitate implementation of Bayesian multivariate receptor models and/or Bayesian nonnegative factor analysis models and promote their use in chemometrics. © 2021 The Author(s)
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