How to cite the R package lqmm

lqmm is a popular R package that is available at https://cran.r-project.org/web/packages/lqmm/index.html. By citing R packages in your paper you lay the grounds for others to be able to reproduce your analysis and secondly you are acknowledging the time and work people have spent creating the package.

APA citation

Formatted according to the APA Publication Manual 7^th edition. Simply copy it to the References page as is.

APA

The minimal requirement is to cite the R package in text along with the version number. Additionally, you can include the reference list entry the authors of the lqmm package have suggested.

Example of an in-text citation

Analysis of the data was done using the lqmm package (v1.5.5; Geraci, 2014).

Reference list entry

Geraci, M. (2014). Linear Quantile Mixed Models: The lqmm Package for Laplace Quantile Regression. In Journal of Statistical Software (Vol. 57, Issue 13, pp. 1–29). http://www.jstatsoft.org/v57/i13/

Vancouver citation

Formatted according to Vancouver style. Simply copy it to the references section as is.

Vancouver

Example of an in-text citation

Analysis of the data was done using the lqmm package v1.5.5 (1).

Reference list entry

1.
Geraci M. Linear Quantile Mixed Models: The lqmm Package for Laplace Quantile Regression [Internet]. Vol. 57, Journal of Statistical Software. 2014. p. 1–29. Available from: http://www.jstatsoft.org/v57/i13/

BibTeX

Reference entry in BibTeX format. Simply copy it to your favorite citation manager.

BibTeX

@MISC{Geraci2014-ey,
  title   = "Linear Quantile Mixed Models: The {lqmm} Package for Laplace
             Quantile Regression",
  author  = "Geraci, Marco",
  journal = "Journal of Statistical Software",
  volume  =  57,
  number  =  13,
  pages   = "1--29",
  year    =  2014,
  url     = "http://www.jstatsoft.org/v57/i13/"
}

RIS

Reference entry in RIS format. Simply copy it to your favorite citation manager.

RIS

TY  - MISC
AU  - Geraci, Marco
TI  - Linear Quantile Mixed Models: The lqmm Package for Laplace Quantile
      Regression
T2  - Journal of Statistical Software
VL  - 57
IS  - 13
SP  - 1-29
PY  - 2014
DA  - 2014
UR  - http://www.jstatsoft.org/v57/i13/
ER  -

Other citation styles (ACS, ACM, IEEE, ...)

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lqmm R package release history

Version	Release date
1.5.4	2018-04-13
1.5.3	2016-02-03
1.5.2	2015-09-23
1.5.1	2014-12-17
1.5	2014-05-01
1.04	2014-01-09
1.03	2013-04-30
1.02	2012-09-15
1.01	2012-05-31
1.0	2012-04-29