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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "dparser" in publications use:'
type: software
license: BSD-3-Clause
title: 'dparser: Port of ''Dparser'' Package'
version: 1.3.1-12
doi: 10.32614/CRAN.package.dparser
identifiers:
- type: url
  value: https://github.com/nlmixr2/dparser-R/
abstract: 'A Scannerless GLR parser/parser generator. Note that GLR standing for "generalized
  LR", where L stands for "left-to-right" and R stands for "rightmost (derivation)".
  For more information see <https://en.wikipedia.org/wiki/GLR_parser>. This parser
  is based on the Tomita (1987) algorithm. (Paper can be found at <https://aclanthology.org/P84-1073.pdf>).
  The original ''dparser'' package documentation can be found at <https://dparser.sourceforge.net/>.
  This allows you to add mini-languages to R (like rxode2''s ODE mini-language Wang,
  Hallow, and James 2015 <DOI:10.1002/psp4.12052>) or to parse other languages like
  ''NONMEM'' to automatically translate them to R code. To use this in your code,
  add a LinkingTo dparser in your DESCRIPTION file and instead of using #include <dparse.h>
  use #include <dparser.h>. This also provides a R-based port of the make_dparser
  <https://dparser.sourceforge.net/d/make_dparser.cat> command called mkdparser().
  Additionally you can parse an arbitrary grammar within R using the dparse() function,
  which works on most OSes and is mainly for grammar testing. The fastest parsing,
  of course, occurs at the C level, and is suggested.'
authors:
- family-names: Fidler
  given-names: Matthew
  email: matthew.fidler@gmail.com
- family-names: Plevyak
  given-names: John
  email: jplevyak@gmail.com
repository: https://nlmixr2.r-universe.dev
repository-code: https://github.com/nlmixr2/dparser-R/issues/
commit: 02e816e1be976beb28ff4dcee2ed5104b16c5817
url: https://nlmixr2.github.io/dparser-R/
contact:
- family-names: Fidler
  given-names: Matthew
  email: matthew.fidler@gmail.com