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

Adams, D. C., M. L. Collyer, and A. Kaliontzopoulou. 2019. Geomorph: Software for geometric morphometric analyses. R package version 3.1.0. https://cran.r-project.org/package=geomorph.

Collyer, M. L. and D. C. Adams. 2019. RRPP: Linear Model Evaluation with Randomized Residuals in a Permutation Procedure. https://cran.r-project.org/web/packages/RRPP

Collyer, M. L. and D. C. Adams. 2018. RRPP: RRPP: An R package for fitting linear models to high‐dimensional data using residual randomization. Methods in Ecology and Evolution. 9(2): 1772-1779. 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 = {Geomorph: Software for geometric morphometric analyses. R
      package version 3.1.0.},
    author = {D.C. Adams and M.L. Collyer and A. Kaliontzopoulou},
    year = {2019},
    url = { https://cran.r-project.org/package=geomorph},
  }

  @Misc{,
    title = {{RRPP}: Linear Model Evaluation with Randomized Residuals
      in a Permutation Procedure, R package version 0.4.0.},
    author = {M. L. Collyer and D. C. Adams},
    year = {2019},
    url = {https://cran.r-project.org/package=RRPP},
  }

  @Misc{,
    title = {{RRPP}: An R package for fitting linear models to
      high‐dimensional 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},
  }