DOI 在 CRAN 提交的 R 包中？

Question

在向 CRAN 提交 R 包后，我收到了以下建议之一：

"Is there some reference about the method you can add in the Description field in the form Authors (year) ?"

经过一些搜索后，我还没有真正找到任何人将 DOI 放入描述文件的实例，也许除了在 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。将其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:~$

而且，简单地说，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:~$

DOI 在 CRAN 提交的 R 包中？

DOI in CRAN submission of R package?

r

cran