Your searching may have been superficial. Limiting it to the subset of what I may have installed here so that I can 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:~$
And, just to plain, here are the first ten lines of the actual result set:
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:~$