How to cite the R package brms

brms is a popular R package that is available at https://cran.r-project.org/web/packages/brms/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 7th 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 brms package have suggested.

Example of an in-text citation

Analysis of the data was done using the brms package (v2.14.4; Bürkner, 2017).

Reference list entry

Bürkner, P.-C. (2017). Brms: An R package for Bayesian multilevel models using Stan. Journal of Statistical Software, 80(1). https://doi.org/10.18637/jss.v080.i01

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 brms package v2.14.4 (1).

Reference list entry

1.
Bürkner PC. Brms: An R package for Bayesian multilevel models using Stan. J Stat Softw [Internet]. 2017;80(1). Available from: http://dx.doi.org/10.18637/jss.v080.i01

BibTeX

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

BibTeX
@ARTICLE{Burkner2017-aw,
  title     = "Brms: An {R} package for Bayesian multilevel models using Stan",
  author    = "B{\"u}rkner, Paul-Christian",
  journal   = "J. Stat. Softw.",
  publisher = "Foundation for Open Access Statistic",
  volume    =  80,
  number    =  1,
  year      =  2017,
  url       = "http://dx.doi.org/10.18637/jss.v080.i01",
  language  = "en",
  issn      = "1548-7660",
  doi       = "10.18637/jss.v080.i01"
}

RIS

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

RIS
TY  - JOUR
AU  - Bürkner, Paul-Christian
TI  - Brms: An R package for Bayesian multilevel models using Stan
T2  - J. Stat. Softw.
VL  - 80
IS  - 1
PY  - 2017
DA  - 2017
PB  - Foundation for Open Access Statistic
SN  - 1548-7660
DO  - 10.18637/jss.v080.i01
UR  - http://dx.doi.org/10.18637/jss.v080.i01
ER  - 

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

BibGuru offers more than 8,000 citation styles including popular styles such as AMA, ACN, ACS, CSE, Chicago, IEEE, Harvard, and Turabian, as well as journal and university specific styles! Give it a try now: Cite it now!

brms R package release history

VersionRelease date
2.14.02020-10-08
2.13.52020-07-31
2.13.32020-07-13
2.13.02020-05-27
2.12.02020-02-23
2.11.12020-01-19
2.11.02020-01-12
2.10.02019-08-29
2.9.02019-05-23
2.8.02019-03-15
2.7.02018-12-17
2.6.02018-10-23
2.5.02018-09-16
2.4.02018-07-20
2.3.12018-06-05
2.3.02018-05-14
2.2.02018-04-13
2.1.02018-01-23
2.0.12017-12-21
2.0.02017-12-15
1.10.22017-10-20
1.10.02017-09-09
1.9.02017-08-15
1.8.02017-07-20
1.7.02017-05-23
1.6.12017-04-17
1.6.02017-04-06
1.5.12017-02-26
1.5.02017-02-17
1.4.02017-01-27
1.3.12016-12-22
1.3.02016-12-20
1.2.02016-12-06
1.1.02016-10-11
1.0.12016-09-16
1.0.02016-09-15
0.10.02016-06-29
0.9.12016-05-17
0.9.02016-04-19
0.8.02016-02-15
0.7.02016-01-18
0.6.02015-11-14
0.5.02015-09-13
0.4.12015-08-03
0.4.02015-07-23
0.3.02015-06-29
0.2.02015-05-27
0.1.02015-05-08