Package: dparser
Title: Port of 'Dparser' Package
Version: 0.1.8
Authors@R: c(person("Matthew", "Fidler", email = "matthew.fidler@gmail.com", role = c("aut", "cre")),
	   person("John", "Plevyak", role = c("aut", "cph"), email = "jplevyak@gmail.com"))
Imports: digest, methods
Suggests: rex, covr, testthat, knitr, devtools,
Description: 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 <http://acl-arc.comp.nus.edu.sg/archives/acl-arc-090501d3/data/pdf/anthology-PDF/J/J87/J87-1004.pdf>).
   The original 'dparser' package documentation can be found at <http://dparser.sourceforge.net/>.  This allows you to add mini-languages to R (like
   RxODE'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 <http://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.
Depends: R (>= 3.2.3)
License: BSD_3_clause + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
NeedsCompilation: yes
Packaged: 2017-11-13 16:20:46 UTC; FIDLEMA3
Author: Matthew Fidler [aut, cre],
  John Plevyak [aut, cph]
Maintainer: Matthew Fidler <matthew.fidler@gmail.com>
Repository: CRAN
Date/Publication: 2017-11-13 18:11:18 UTC
Built: R 3.6.2; x86_64-w64-mingw32; 2020-01-17 12:00:48 UTC; windows
Archs: x64
