以 APA 样式引用插入符 R 包
Citing caret R package in APA style
我使用 caret
包进行神经网络分析,需要以 APA 样式引用该包。但是,`citation("caret") 看起来不像典型的 APA 风格。任何人都可以达到 APA 第六风格吗?谢谢
To cite package ‘caret’ in publications use:
Max Kuhn. Contributions from Jed Wing, Steve Weston, Andre Williams,
Chris Keefer, Allan Engelhardt, Tony Cooper, Zachary Mayer, Brenton
Kenkel, the R Core Team, Michael Benesty, Reynald Lescarbeau, Andrew
Ziem, Luca Scrucca, Yuan Tang and Can Candan. (2016). caret:
Classification and Regression Training. R package version 6.0-71.
https://CRAN.R-project.org/package=caret
库恩,M.(2008 年)。插入符包。统计软件杂志,28(5)
这是 APA 中的引用格式:
Kuhn, M. (2008). Building Predictive Models in R Using the caret Package. Journal of Statistical Software, 28(5), 1 - 26. doi:http://dx.doi.org/10.18637/jss.v028.i05
BibTex 中的引用格式(在 latex 中):
@article{JSSv028i05,
author = {Max Kuhn},
title = {Building Predictive Models in R Using the caret Package},
journal = {Journal of Statistical Software, Articles},
volume = {28},
number = {5},
year = {2008},
keywords = {},
abstract = {The caret package, short for classification and regression training, contains numerous tools for developing predictive models using the rich set of models available in R. The package focuses on simplifying model training and tuning across a wide variety of modeling techniques. It also includes methods for pre-processing training data, calculating variable importance, and model visualizations. An example from computational chemistry is used to illustrate the functionality on a real data set and to benchmark the benefits of parallel processing with several types of models.},
issn = {1548-7660},
pages = {1--26},
doi = {10.18637/jss.v028.i05},
url = {https://www.jstatsoft.org/v028/i05}
}
其他格式请参考以下网址:
https://www.jstatsoft.org/rt/captureCite/v028i05/0/ApaCitationPlugin
我使用 caret
包进行神经网络分析,需要以 APA 样式引用该包。但是,`citation("caret") 看起来不像典型的 APA 风格。任何人都可以达到 APA 第六风格吗?谢谢
To cite package ‘caret’ in publications use:
Max Kuhn. Contributions from Jed Wing, Steve Weston, Andre Williams,
Chris Keefer, Allan Engelhardt, Tony Cooper, Zachary Mayer, Brenton
Kenkel, the R Core Team, Michael Benesty, Reynald Lescarbeau, Andrew
Ziem, Luca Scrucca, Yuan Tang and Can Candan. (2016). caret:
Classification and Regression Training. R package version 6.0-71.
https://CRAN.R-project.org/package=caret
库恩,M.(2008 年)。插入符包。统计软件杂志,28(5)
这是 APA 中的引用格式:
Kuhn, M. (2008). Building Predictive Models in R Using the caret Package. Journal of Statistical Software, 28(5), 1 - 26. doi:http://dx.doi.org/10.18637/jss.v028.i05
BibTex 中的引用格式(在 latex 中):
@article{JSSv028i05,
author = {Max Kuhn},
title = {Building Predictive Models in R Using the caret Package},
journal = {Journal of Statistical Software, Articles},
volume = {28},
number = {5},
year = {2008},
keywords = {},
abstract = {The caret package, short for classification and regression training, contains numerous tools for developing predictive models using the rich set of models available in R. The package focuses on simplifying model training and tuning across a wide variety of modeling techniques. It also includes methods for pre-processing training data, calculating variable importance, and model visualizations. An example from computational chemistry is used to illustrate the functionality on a real data set and to benchmark the benefits of parallel processing with several types of models.},
issn = {1548-7660},
pages = {1--26},
doi = {10.18637/jss.v028.i05},
url = {https://www.jstatsoft.org/v028/i05}
}
其他格式请参考以下网址:
https://www.jstatsoft.org/rt/captureCite/v028i05/0/ApaCitationPlugin