作者：黄天元，复旦大学博士在读，热爱数据科学与开源工具（R），致力于利用数据科学迅速积累行业经验优势和科学知识发现，涉猎内容包括但不限于信息计量、机器学习、数据可视化、应用统计建模、知识图谱等。知乎专栏：R语言数据挖掘。邮箱：huang.tian-yuan@qq.com.欢迎合作交流。

写论文的时候如果用了R的软件包，需要引用，一般直接使用citation()函数可以引用当前版本的R，用citation("package_name")可以引用特定的包。展示如下：

> citation()

To cite R in publications use:

  R Core Team (2019). R: A language and environment for statistical computing. R Foundation for
  Statistical Computing, Vienna, Austria. URL https://www.R-project.org/.

A BibTeX entry for LaTeX users is

  @Manual{,
    title = {R: A Language and Environment for Statistical Computing},
    author = {{R Core Team}},
    organization = {R Foundation for Statistical Computing},
    address = {Vienna, Austria},
    year = {2019},
    url = {https://www.R-project.org/},
  }

We have invested a lot of time and effort in creating R, please cite it when using it for data analysis.
See also ‘citation("pkgname")’ for citing R packages.

> citation("tidyverse")

To cite package ‘tidyverse’ in publications use:

  Hadley Wickham (2017). tidyverse: Easily Install and Load the 'Tidyverse'. R package version 1.2.1.
  https://CRAN.R-project.org/package=tidyverse

A BibTeX entry for LaTeX users is

  @Manual{,
    title = {tidyverse: Easily Install and Load the 'Tidyverse'},
    author = {Hadley Wickham},
    year = {2017},
    note = {R package version 1.2.1},
    url = {https://CRAN.R-project.org/package=tidyverse},
  }

如果已经在环境中使用了大量的包，则可以用knitr的write_bib函数批量导出，并写出bib格式的文件：

knitr::write_bib(c(
  .packages()
), file =  'packages.bib')

这里，.packages()函数可以直接把环境中使用的所有包的字符串作为向量返回。路径和文件名在file参数中进行设置。

有多条输出的时候，加上这么一段代码，方便导入到NoteExpress。

a = readLines("packages.bib") 

a[a == "}"] = "}\n"

writeLines(a,"packages.bib")

ITPub博客

R语言软件包的批量引用

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