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- W3133491483 abstract "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." @default.
- W3133491483 created "2021-03-15" @default.
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- W3133491483 date "2021-04-01" @default.
- W3133491483 modified "2023-10-18" @default.
- W3133491483 title "Bayesian multivariate receptor modeling software: BNFA and bayesMRM" @default.
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- W3133491483 doi "https://doi.org/10.1016/j.chemolab.2021.104280" @default.
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