To cite package 'geomorph' in a publication use the first two references. If analyses with RRPP were used, cite the subsequent three references:

Baken E, Collyer M, Kaliontzopoulou A, Adams D (2021). “gmShiny and geomorph v4.0: new graphical interface and enhanced analytics for a comprehensive morphometric experience.”

Adams D, Collyer M, Kaliontzopoulou A, Baken E (2021). “Geomorph: Software for geometric morphometric analyses. R package version 4.0.” https://cran.r-project.org/package=geomorph.

Collyer ML, Adams DC (2021). “RRPP: Linear Model Evaluation with Randomized Residuals in a Permutation Procedure, R package version 0.6.2.” https://cran.r-project.org/package=RRPP.

Collyer ML, Adams DC (2018). “RRPP: An R package for fitting linear models to high‚Äźdimensional data using residual randomization. .” https://besjournals.onlinelibrary.wiley.com/doi/10.1111/2041-210X.13029.

As geomorph is evolving quickly, you may want to cite also its version number (found with 'library(help = geomorph)'). Additionally, the RRPP package should also be cited for any analyses using RRPP. (See 'library(help = RRPP)' or 'citation('RRPP')'.)

Corresponding BibTeX entries:

  @Misc{,
    title = {gmShiny and geomorph v4.0: new graphical interface and
      enhanced analytics for a comprehensive morphometric experience.},
    author = {E.K. Baken and M.L. Collyer and A. Kaliontzopoulou and
      D.C. Adams},
    year = {2021},
    year = {2021},
    journal = {Methods in Ecology and Evolution},
    volume = {000},
    pages = {000},
  }
  @Misc{,
    title = {Geomorph: Software for geometric morphometric analyses. R
      package version 4.0.},
    author = {D.C. Adams and M.L. Collyer and A. Kaliontzopoulou and
      E.K. Baken},
    year = {2021},
    url = { https://cran.r-project.org/package=geomorph},
  }
  @Misc{,
    title = {{RRPP}: Linear Model Evaluation with Randomized Residuals
      in a Permutation Procedure, R package version 0.6.2.},
    author = {M. L. Collyer and D. C. Adams},
    year = {2021},
    url = {https://cran.r-project.org/package=RRPP},
  }
  @Misc{,
    title = {{RRPP}: An R package for fitting linear models to
      high‚Äźdimensional data using residual randomization. },
    author = {M. L. Collyer and D. C. Adams},
    year = {2018},
    journal = {Methods in Ecology and Evolution},
    volume = {9},
    issue = {2},
    pages = {1772-1779},
    url =
      {https://besjournals.onlinelibrary.wiley.com/doi/10.1111/2041-210X.13029},
  }