r - R 包的 CRAN 提交中的 DOI？

Question

在向 CRAN 提交 R 包后，我收到了以下建议之一:

“是否有一些关于您可以在作者(年份)表格的描述字段中添加的方法的引用？”

在做了一些搜索之后，我还没有真正发现任何人将 DOI 放在描述文件中的实例，除了在 CITATION 文件中，但这似乎不是这里所要求的。请问我该如何解决这个问题？提前致谢!

Answer 1

您的搜索可能很肤浅。将它限制为我可能已在此处安装的子集，以便我可以 grep:

edd@rob:~$ grep -l "<doi:.*>" /usr/local/lib/R/site-library/*/DESCRIPTION
/usr/local/lib/R/site-library/acepack/DESCRIPTION
/usr/local/lib/R/site-library/arules/DESCRIPTION
/usr/local/lib/R/site-library/datasauRus/DESCRIPTION
/usr/local/lib/R/site-library/ddalpha/DESCRIPTION
/usr/local/lib/R/site-library/DEoptimR/DESCRIPTION
/usr/local/lib/R/site-library/distr6/DESCRIPTION
/usr/local/lib/R/site-library/dqrng/DESCRIPTION
/usr/local/lib/R/site-library/earth/DESCRIPTION
/usr/local/lib/R/site-library/fastglm/DESCRIPTION
/usr/local/lib/R/site-library/fields/DESCRIPTION
/usr/local/lib/R/site-library/HardyWeinberg/DESCRIPTION
/usr/local/lib/R/site-library/jomo/DESCRIPTION
/usr/local/lib/R/site-library/lava/DESCRIPTION
/usr/local/lib/R/site-library/loo/DESCRIPTION
/usr/local/lib/R/site-library/lpirfs/DESCRIPTION
/usr/local/lib/R/site-library/mcmc/DESCRIPTION
/usr/local/lib/R/site-library/mice/DESCRIPTION
/usr/local/lib/R/site-library/party/DESCRIPTION
/usr/local/lib/R/site-library/plm/DESCRIPTION
/usr/local/lib/R/site-library/praznik/DESCRIPTION
/usr/local/lib/R/site-library/Rcpp/DESCRIPTION
/usr/local/lib/R/site-library/RcppSMC/DESCRIPTION
/usr/local/lib/R/site-library/RcppZiggurat/DESCRIPTION
/usr/local/lib/R/site-library/RProtoBuf/DESCRIPTION
/usr/local/lib/R/site-library/spam/DESCRIPTION
/usr/local/lib/R/site-library/SQUAREM/DESCRIPTION
/usr/local/lib/R/site-library/stabs/DESCRIPTION
/usr/local/lib/R/site-library/tweedie/DESCRIPTION
/usr/local/lib/R/site-library/xgboost/DESCRIPTION
edd@rob:~$ 

简单来说，这里是实际结果集的前十行:

edd@rob:~$ grep -h "<doi:.*>" /usr/local/lib/R/site-library/*/DESCRIPTION | head -10
  80:580-598. <doi:10.1080/01621459.1985.10478157>].
  <doi:10.1080/01621459.1988.10478610>]. A good introduction to these two methods is in chapter 16 of
    See Christian Borgelt (2012) <doi:10.1002/widm.1074>.
             <doi:10.1145/3025453.3025912>.
Description: Contains procedures for depth-based supervised learning, which are entirely non-parametric, in particular the DDalpha-procedure (Lange, Mosler and Mozharovskyi, 2014 <doi:10.1007/s00362-012-0488-4>). The training data sample is transformed by a statistical depth function to a compact low-dimensional space, where the final classification is done. It also offers an extension to functional data and routines for calculating certain notions of statistical depth functions. 50 multivariate and 5 functional classification problems are included. (Pokotylo, Mozharovskyi and Dyckerhoff, 2019 <doi:10.18637/jss.v091.i05>).
  Brest et al. (2006) <doi:10.1109/TEVC.2006.872133>.
Description: An R6 object oriented distributions package. Unified interface for 42 probability distributions and 11 kernels including functionality for multiple scientific types. Additionally functionality for composite distributions and numerical imputation. Design patterns including wrappers and decorators are described in Gamma et al. (1994, ISBN:0-201-63361-2). For quick reference of probability distributions including d/p/q/r functions and results we refer to McLaughlin, M. P. (2001). Additionally Devroye (1986, ISBN:0-387-96305-7) for sampling the Dirichlet distribution, Gentle (2009) <doi:10.1007/978-0-387-98144-4> for sampling the Multivariate Normal distribution and Michael et al. (1976) <doi:10.2307/2683801> for sampling the Wald distribution.
  proposed by Marsaglia and Tsang (2000, <doi:10.18637/jss.v005.i08>).
  Threefry engine (Salmon et al., 2011 <doi:10.1145/2063384.2063405>) as
    Splines" <doi:10.1214/aos/1176347963>.
edd@rob:~$