To cite gllvmTMB itself:

Nakagawa S (2026). gllvmTMB: Generalised Linear Latent Variable Models with TMB. R package version 0.7.1, https://itchyshin.github.io/gllvmTMB/.

When using estimator = "mspl", also cite the logistic mixed-effects antecedent for its fixed-effect Jeffreys construction; gllvmTMB's probit, cloglog, reduced-rank, and spatial extensions are separate:

Sterzinger P, Kosmidis I (2023). “Maximum Softly-Penalized Likelihood for Mixed Effects Logistic Regression.” Statistics and Computing, 33, 53. doi:10.1007/s11222-023-10217-3.

Please also cite TMB, the engine underlying every gllvmTMB fit:

Kristensen K, Nielsen A, Berg CW, Skaug H, Bell BM (2016). “TMB: Automatic Differentiation and Laplace Approximation.” Journal of Statistical Software, 70(5), 1–21. doi:10.18637/jss.v070.i05.

Corresponding BibTeX entries:

  @Manual{gllvmTMB,
    title = {gllvmTMB: Generalised Linear Latent Variable Models with
      TMB},
    author = {Shinichi Nakagawa},
    year = {2026},
    note = {R package version 0.7.1},
    url = {https://itchyshin.github.io/gllvmTMB/},
  }

  @Article{MSPL,
    title = {Maximum Softly-Penalized Likelihood for Mixed Effects
      Logistic Regression},
    author = {Philipp Sterzinger and Ioannis Kosmidis},
    journal = {Statistics and Computing},
    year = {2023},
    volume = {33},
    pages = {53},
    doi = {10.1007/s11222-023-10217-3},
  }

  @Article{TMB,
    title = {TMB: Automatic Differentiation and Laplace Approximation},
    author = {Kasper Kristensen and Anders Nielsen and Casper W. Berg
      and Hans Skaug and Bradley M. Bell},
    journal = {Journal of Statistical Software},
    year = {2016},
    volume = {70},
    number = {5},
    pages = {1--21},
    doi = {10.18637/jss.v070.i05},
  }