To cite package 'eRm' in publications use:

############################################################################### The current Package Version:

Mair, P., Hatzinger, R., & Maier M. J. (2018). eRm: Extended Rasch Modeling. 0.16-2. http://erm.r-forge.r-project.org/

############################################################################### The original JSS Article:

Mair, P., & Hatzinger, R. (2007). Extended Rasch modeling: The eRm package for the application of IRT models in R. Journal of Statistical Software, 20(9), 1-20. http://www.jstatsoft.org/v20/i09

############################################################################### Article about CML Estimation in eRm:

Mair, P., & Hatzinger, R. (2007). CML based estimation of extended Rasch models with the eRm package in R. Psychology Science, 49(1), 26-43.

############################################################################### Article about LLRAs in eRm:

Hatzinger, R., & Rusch, T. (2009). IRT models with relaxed assumptions in eRm: A manual-like instruction. Psychology Science Quarterly, 51(1), 87-120.

############################################################################### Book Chapter about LLRAs:

Rusch T., Maier M. J., & Hatzinger R. (2013). Linear logistic models with relaxed assumptions in R. In: B. Lausen, D. van den Poel, & A. Ultsch (Eds.) Algorithms from and for Nature and Life.New York: Springer. 337-347. http://dx.doi.org/10.1007/978-3-319-00035-0_34

############################################################################### Article about the performance of Quasi-Exact Tests in eRm:

Koller, I., Maier, M. J., & Hatzinger, R. (2015). An Empirical Power Analysis of Quasi-Exact Tests for the Rasch Model: Measurement Invariance in Small Samples. Methodology, 11(2), 45-54. http://dx.doi.org/10.1027/1614-2241/a000090

Corresponding BibTeX entries:

  @Manual{,
    title = {{eRm: Extended Rasch Modeling}},
    author = {Patrick Mair and Reinhold Hatzinger and Marco Johannes
      Maier},
    year = {2018},
    note = {0.16-2},
    url = {http://erm.r-forge.r-project.org/},
  }

  @Article{,
    title = {{Extended Rasch modeling: The eRm package for the
      application of IRT models in R}},
    author = {Patrick Mair and Reinhold Hatzinger},
    year = {2007},
    page = {1--20},
    journal = {{Journal of Statistical Software}},
    volume = {20},
    issue = {9},
    url = {http://www.jstatsoft.org/v20/i09},
  }

  @Article{,
    title = {{CML based estimation of extended Rasch models with the
      eRm package in R}},
    author = {Patrick Mair and Reinhold Hatzinger},
    year = {2007},
    page = {26--43},
    journal = {{Psychology Science}},
    volume = {49},
    issue = {1},
  }

  @Article{,
    title = {{IRT models with relaxed assumptions in eRm: A manual-like
      instruction}},
    author = {Reinhold Hatzinger and Thomas Rusch},
    year = {2009},
    page = {87--120},
    journal = {{Psychology Science Quarterly}},
    volume = {51},
    issue = {1},
  }

  @InProceedings{,
    title = {{Linear logistic models with relaxed assumptions in R}},
    author = {Thomas Rusch and Marco Johannes Maier and Reinhold
      Hatzinger},
    booktitle = {{Algorithms from and for Nature and Life}},
    editor = {Berthold Lausen and Dirk {van den Poel} and Alfred
      Ultsch},
    series = {{Studies in Classification, Data Analysis, and Knowledge
      Organization}},
    year = {2013},
    page = {337--347},
    address = {{New York}},
    publisher = {{Springer}},
    doi = {10.1007/978-3-319-00035-0_34},
  }

  @Article{,
    title = {{An Empirical Power Analysis of Quasi-Exact Tests for the
      Rasch Model: Measurement Invariance in Small Samples}},
    author = {Ingrid Koller and Marco Johannes Maier and Reinhold
      Hatzinger},
    year = {2015},
    volume = {11},
    issue = {2},
    page = {45--54},
    journal = {{Methodology}},
    doi = {10.1027/1614-2241/a000090},
  }