How to cite the R package umx

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

Example of an in-text citation

Analysis of the data was done using the umx package (v4.3.0; Bates et al., 2019).

Reference list entry

Bates, T. C., Maes, H., & Neale, M. C. (2019). Umx: Twin and path-based structural equation modeling in R. Twin Research and Human Genetics: The Official Journal of the International Society for Twin Studies, 22(1), 27–41.

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 umx package v4.3.0 (1).

Reference list entry

1.
Bates TC, Maes H, Neale MC. Umx: Twin and path-based structural equation modeling in R. Twin Res Hum Genet. 2019 Feb;22(1):27–41.

BibTeX

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

BibTeX
@ARTICLE{Bates2019-xt,
  title     = "Umx: Twin and path-based structural equation modeling in {R}",
  author    = "Bates, Timothy C and Maes, Hermine and Neale, Michael C",
  abstract  = "AbstractStructural equation modeling (SEM) is an important
               research tool, both for path-based model specification (common
               in the social sciences) and also for matrix-based models (in
               heavy use in behavior genetics). We developed umx to give more
               immediate access, relatively concise syntax and helpful defaults
               for users in these two broad disciplines. umx supports
               development, modification and comparison of models, as well as
               both graphical and tabular outputs. The second major focus of
               umx, behavior genetic models, is supported via functions
               implementing standard multigroup twin models. These functions
               support raw and covariance data, including joint ordinal data,
               and give solutions for ACE models, including support for
               covariates, common- and independent-pathway models, and gene
               $\times$ environment interaction models. A tutorial site and
               question forum are also available.",
  journal   = "Twin Res. Hum. Genet.",
  publisher = "Cambridge University Press (CUP)",
  volume    =  22,
  number    =  1,
  pages     = "27--41",
  month     =  feb,
  year      =  2019,
  url       = "http://dx.doi.org/10.1017/thg.2019.2",
  language  = "en",
  issn      = "1832-4274, 1839-2628",
  doi       = "10.1017/thg.2019.2"
}

RIS

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

RIS
TY  - JOUR
AU  - Bates, Timothy C
AU  - Maes, Hermine
AU  - Neale, Michael C
TI  - Umx: Twin and path-based structural equation modeling in R
T2  - Twin Res. Hum. Genet.
VL  - 22
IS  - 1
SP  - 27-41
PY  - 2019
DA  - 2019/2
PB  - Cambridge University Press (CUP)
AB  - AbstractStructural equation modeling (SEM) is an important research tool,
      both for path-based model specification (common in the social sciences)
      and also for matrix-based models (in heavy use in behavior genetics). We
      developed umx to give more immediate access, relatively concise syntax and
      helpful defaults for users in these two broad disciplines. umx supports
      development, modification and comparison of models, as well as both
      graphical and tabular outputs. The second major focus of umx, behavior
      genetic models, is supported via functions implementing standard
      multigroup twin models. These functions support raw and covariance data,
      including joint ordinal data, and give solutions for ACE models, including
      support for covariates, common- and independent-pathway models, and gene ×
      environment interaction models. A tutorial site and question forum are
      also available.
SN  - 1832-4274
DO  - 10.1017/thg.2019.2
UR  - http://dx.doi.org/10.1017/thg.2019.2
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!

umx R package release history

VersionRelease date
4.2.52020-12-12
4.0.02020-05-25
3.0.62020-02-06
3.0.52019-12-06
3.0.02019-09-19
2.10.02019-04-25
2.9.92019-01-18
2.9.02018-12-19
2.8.52018-10-06
2.8.02018-06-19
2.6.52018-04-30
2.4.02018-03-19
2.0.22018-02-14
1.9.02017-11-02
1.9.12017-11-02
1.7.52017-04-07
1.5.52017-03-21
1.5.12017-03-07
1.5.02017-01-13
1.4.92016-12-05
1.4.52016-11-08
1.4.02016-10-13
1.3.02016-08-18
1.2.72016-05-06
1.2.52016-04-03
1.2.02016-03-31
1.1.52016-03-07
1.1.12016-02-07
1.1.02015-12-10
1.0.02015-10-28
0.502015-08-28