How to cite the R package ranger

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

Example of an in-text citation

Analysis of the data was done using the ranger package (v0.12.1; Wright & Ziegler, 2017).

Reference list entry

Wright, M. N., & Ziegler, A. (2017). Ranger: A fast implementation of random forests for high dimensional data in C++ and R. Journal of Statistical Software, 77(1). https://doi.org/10.18637/jss.v077.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 ranger package v0.12.1 (1).

Reference list entry

1.
Wright MN, Ziegler A. Ranger: A fast implementation of random forests for high dimensional data in C++ and R. J Stat Softw [Internet]. 2017;77(1). Available from: http://dx.doi.org/10.18637/jss.v077.i01

BibTeX

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

BibTeX

@ARTICLE{Wright2017-wf,
  title     = "Ranger: A fast implementation of random forests for high
               dimensional data in C++ and {R}",
  author    = "Wright, Marvin N and Ziegler, Andreas",
  journal   = "J. Stat. Softw.",
  publisher = "Foundation for Open Access Statistic",
  volume    =  77,
  number    =  1,
  year      =  2017,
  url       = "http://dx.doi.org/10.18637/jss.v077.i01",
  language  = "en",
  issn      = "1548-7660",
  doi       = "10.18637/jss.v077.i01"
}

RIS

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

RIS

TY  - JOUR
AU  - Wright, Marvin N
AU  - Ziegler, Andreas
TI  - Ranger: A fast implementation of random forests for high dimensional data
      in C++ and R
T2  - J. Stat. Softw.
VL  - 77
IS  - 1
PY  - 2017
DA  - 2017
PB  - Foundation for Open Access Statistic
SN  - 1548-7660
DO  - 10.18637/jss.v077.i01
UR  - http://dx.doi.org/10.18637/jss.v077.i01
ER  -

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ranger R package release history

Version	Release date
0.12.0	2020-01-09
0.11.2	2019-03-07
0.11.1	2019-01-24
0.11.0	2019-01-21
0.10.1	2018-06-04
0.10.0	2018-05-29
0.9.0	2018-01-09
0.8.0	2017-06-20
0.7.0	2017-03-31
0.6.0	2016-10-07
0.5.0	2016-06-24
0.4.0	2016-04-07
0.3.0	2015-11-10
0.2.7	2015-07-29
0.2.6	2015-07-28