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To cite BNSP in publications, please use the 2018 paper for univariate regression, the 2020 paper for multivariate regression, or the 2022 paper for covariance matrix modelling.

Papageorgiou G (2018). “BNSP: an R Package for Fitting Bayesian Semiparametric Regression Models and Variable Selection.” The R Journal, 10(2), 526-548.

Papageorgiou G, Marshall BC (2020). “Bayesian Semiparametric Analysis of Multivariate Continuous Responses, With Variable Selection.” Journal of Computational and Graphical Statistics, 29(4), 896-909.

Papageorgiou G (2022). “Bayesian semi-parametric modeling of covariance matrices for multivariate longitudinal data.” Statistics in Medicine, 41(14), 2665-2687.

Corresponding BibTeX entries:

  @Article{,
    title = {{BNSP}: an {R} Package for Fitting {B}ayesian
      Semiparametric Regression Models and Variable Selection},
    author = {G. Papageorgiou},
    journal = {The R Journal},
    year = {2018},
    volume = {10},
    number = {2},
    pages = {526-548},
  }
  @Article{,
    title = {Bayesian Semiparametric Analysis of Multivariate
      Continuous Responses, With Variable Selection},
    author = {G. Papageorgiou and B. C. Marshall},
    journal = {Journal of Computational and Graphical Statistics},
    year = {2020},
    volume = {29},
    number = {4},
    pages = {896-909},
  }
  @Article{,
    title = {Bayesian semi-parametric modeling of covariance matrices
      for multivariate longitudinal data},
    author = {G. Papageorgiou},
    journal = {Statistics in Medicine},
    year = {2022},
    volume = {41},
    number = {14},
    pages = {2665-2687},
  }

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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