Marek Gagolewski [aut, cre, cph] (<https://orcid.org/0000-0003-0637-6028>),
    Bartek Tartanus [ctb], and others (stringi source code);
    Unicode, Inc. and others (ICU4C source code, Unicode Character Database)

c(person(given = "Emil",
             family = "Hvitfeldt",
             role = c("aut", "cre"),
             email = "emilhhvitfeldt@gmail.com",
             comment = c(ORCID = "0000-0002-0679-1945")),
      person(given = "Thomas Lin",
             family = "Pedersen",
             role = c("aut"),
             email = "thomasp85@gmail.com",
             comment = c(ORCID = "0000-0002-5147-4711")),
      person(given = 'Michaël', 
             family = 'Benesty', 
             role = c('aut'), 
             email = "michael@benesty.fr"))

When building complex models, it is often difficult to explain why
    the model should be trusted. While global measures such as accuracy are
    useful, they cannot be used for explaining why a model made a specific
    prediction. 'lime' (a port of the 'lime' 'Python' package) is a method for
    explaining the outcome of black box models by fitting a local model around
    the point in question an perturbations of this point. The approach is
    described in more detail in the article by Ribeiro et al. (2016) 
    <arXiv:1602.04938>.

glmnet, stats, ggplot2, tools, stringi, Matrix, Rcpp,
assertthat, methods, grDevices, gower

xgboost, testthat, mlr, h2o, text2vec, MASS, covr, knitr,
rmarkdown, sessioninfo, magick, keras, htmlwidgets, shiny,
shinythemes, ranger

Emil Hvitfeldt [aut, cre] (<https://orcid.org/0000-0002-0679-1945>),
  Thomas Lin Pedersen [aut] (<https://orcid.org/0000-0002-5147-4711>),
  Michaël Benesty [aut]

Dirk Eddelbuettel, Romain Francois, JJ Allaire, Kevin Ushey, Qiang Kou,
 Nathan Russell, Inaki Ucar, Douglas Bates and John Chambers

The 'Rcpp' package provides R functions as well as C++ classes which
 offer a seamless integration of R and C++. Many R data types and objects can be
 mapped back and forth to C++ equivalents which facilitates both writing of new
 code as well as easier integration of third-party libraries. Documentation
 about 'Rcpp' is provided by several vignettes included in this package, via the
 'Rcpp Gallery' site at <https://gallery.rcpp.org>, the paper by Eddelbuettel and
 Francois (2011, <doi:10.18637/jss.v040.i08>), the book by Eddelbuettel (2013,
 <doi:10.1007/978-1-4614-6868-4>) and the paper by Eddelbuettel and Balamuta (2018,
 <doi:10.1080/00031305.2017.1375990>); see 'citation("Rcpp")' for details.