How to cite the R package corto

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

Example of an in-text citation

Analysis of the data was done using the corto package (v1.1.3; Mercatelli & Giorgi, 2020).

Reference list entry

Mercatelli, D., & Giorgi, F. M. (2020). Correlation Tool (CorTo): a simple R package to infer correlation networks using Data Processing Inequality (DPI). In BiorXiv (Vol. 1, Issue 1, pp. 123–124).

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 corto package v1.1.3 (1).

Reference list entry

1.
Mercatelli D, Giorgi FM. Correlation Tool (CorTo): a simple R package to infer correlation networks using Data Processing Inequality (DPI). Vol. 1, BiorXiv. 2020. p. 123–4.

BibTeX

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

BibTeX

@MISC{Mercatelli2020-sy,
  title   = "Correlation Tool ({CorTo)}: a simple {R} package to infer
             correlation networks using Data Processing Inequality ({DPI})",
  author  = "Mercatelli, Daniele and Giorgi, Federico M",
  journal = "BiorXiv",
  volume  =  1,
  number  =  1,
  pages   = "123--124",
  year    =  2020
}

RIS

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

RIS

TY  - MISC
AU  - Mercatelli, Daniele
AU  - Giorgi, Federico M
TI  - Correlation Tool (CorTo): a simple R package to infer correlation networks
      using Data Processing Inequality (DPI)
T2  - BiorXiv
VL  - 1
IS  - 1
SP  - 123-124
PY  - 2020
DA  - 2020
ER  -

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corto R package release history

Version	Release date
1.1.2	2020-10-13
1.1.0	2020-06-27
1.0.8	2020-04-09
1.0.5	2020-03-03
1.0.2	2020-01-30
1.0.1	2020-01-28
0.99.10	2019-10-30