To cite VGAM in publications please use:

Yee TW (2015). Vector Generalized Linear and Additive Models: With an Implementation in R. Springer, New York, USA.

Yee TW, Wild CJ (1996). “Vector Generalized Additive Models.” Journal of Royal Statistical Society, Series B, 58(3), 481–493.

and/or

Yee TW (2010). “The VGAM Package for Categorical Data Analysis.” Journal of Statistical Software, 32(10), 1–34. doi:10.18637/jss.v032.i10.

and/or

Yee TW, Hadi AF (2014). “Row-column interaction models, with an R implementation.” Computational Statistics, 29(6), 1427–1445.

and/or

Yee TW (2025). VGAM: Vector Generalized Linear and Additive Models. R package version 1.1-13, https://CRAN.R-project.org/package=VGAM.

and/or

Yee TW (2013). “Two-parameter reduced-rank vector generalized linear models.” Computational Statistics and Data Analysis, 71, 889–902.

and/or

Yee TW, Stoklosa J, Huggins RM (2015). “The VGAM Package for Capture-Recapture Data Using the Conditional Likelihood.” Journal of Statistical Software, 65(5), 1–33. doi:10.18637/jss.v065.i05.

and/or

Yee TW (2020). “The VGAM package for negative binomial regression.” Australian and New Zealand Journal of Statistics, 62(1), 116–131.

and/or

Yee TW (2022). “On the Hauck-Donner effect in Wald tests: Detection, tipping points and parameter space characterization.” Journal of the American Statistical Association, 117(540), 1763–1774.

and/or

Yee TW, Ma C (2024). “Generally altered, inflated, truncated and deflated regression.” Statistical Science, 39(4), 568–588.

Corresponding BibTeX entries:

  @Book{,
    title = {Vector Generalized Linear and Additive Models: With an
      Implementation in R},
    author = {T. W. Yee},
    year = {2015},
    publisher = {Springer},
    address = {New York, USA},
  }

  @Article{,
    title = {Vector Generalized Additive Models},
    author = {T. W. Yee and C. J. Wild},
    journal = {Journal of Royal Statistical Society, Series B},
    year = {1996},
    volume = {58},
    number = {3},
    pages = {481--493},
  }

  @Article{,
    title = {The {VGAM} Package for Categorical Data Analysis},
    author = {T. W. Yee},
    journal = {Journal of Statistical Software},
    year = {2010},
    volume = {32},
    number = {10},
    pages = {1--34},
    doi = {10.18637/jss.v032.i10},
  }

  @Article{,
    title = {Row-column interaction models, with an {R}
      implementation},
    author = {T. W. Yee and A. F. Hadi},
    journal = {Computational Statistics},
    year = {2014},
    volume = {29},
    number = {6},
    pages = {1427--1445},
  }

  @Manual{,
    title = {{VGAM}: Vector Generalized Linear and Additive Models},
    author = {T. W. Yee},
    year = {2025},
    note = {R package version 1.1-13},
    url = {https://CRAN.R-project.org/package=VGAM},
  }

  @Article{,
    title = {Two-parameter reduced-rank vector generalized linear
      models},
    author = {T. W. Yee},
    journal = {Computational Statistics and Data Analysis},
    year = {2013},
    volume = {71},
    pages = {889--902},
  }

  @Article{,
    title = {The {VGAM} Package for Capture-Recapture Data Using the
      Conditional Likelihood},
    author = {T. W. Yee and J. Stoklosa and R. M. Huggins},
    journal = {Journal of Statistical Software},
    year = {2015},
    volume = {65},
    number = {5},
    pages = {1--33},
    doi = {10.18637/jss.v065.i05},
  }

  @Article{,
    title = {The {VGAM} package for negative binomial regression},
    author = {T. W. Yee},
    journal = {Australian and New Zealand Journal of Statistics},
    year = {2020},
    volume = {62},
    number = {1},
    pages = {116--131},
  }

  @Article{,
    title = {On the {H}auck-{D}onner effect in {W}ald tests:
      {D}etection, tipping points and parameter space
      characterization},
    author = {T. W. Yee},
    journal = {Journal of the American Statistical Association},
    year = {2022},
    volume = {117},
    number = {540},
    pages = {1763--1774},
  }

  @Article{,
    title = {Generally altered, inflated, truncated and deflated
      regression},
    author = {T. W. Yee and C. Ma},
    journal = {Statistical Science},
    year = {2024},
    volume = {39},
    number = {4},
    pages = {568--588},
  }