Author: Hector Corrada Bravo, with contributions from Stefan Theussl
Packaged: Thu Oct 16 11:32:55 2008; theussl

systems. Support for sparse matrices is provided by an S3-style
class "simple_triplet_matrix" from package slam and by objects
from the Matrix package class hierarchy.

(linear and quadratic) mixed integer programs. Support for
quadratically constrained programming is available. A working

Author: Hector Corrada Bravo, with contributions from Stefan Theussl and Kurt Hornik
Description: R interface to CPLEX solvers for linear, quadratic, and (linear and quadratic) mixed integer programs. Support for quadratically constrained programming is available. A working installation of CPLEX is required for usage of the Rcplex package. See the file "INSTALL" for details on how to install the Rcplex package in Linux/Unix-like systems and Windows systems. Support for sparse matrices is provided by an S3-style class "simple_triplet_matrix" from package slam and by objects from the Matrix package class hierarchy.

Authors@R: c( person("Hector Corrada", "Bravo", role = "aut"), person("Kurt", "Hornik", role = "ctb"),
person("Stefan", "Theussl", role = c("aut", "cre"), email = "Stefan.Theussl@R-project.org") )
Description: R interface to CPLEX solvers for linear, quadratic, and (linear and quadratic) mixed integer programs. Support for quadratically constrained programming is available. See the file "INSTALL" for details on how to install the Rcplex package in Linux/Unix-like and Windows systems. Support for sparse matrices is provided by an S3-style class "simple_triplet_matrix" from package slam and by objects from the Matrix package class hierarchy.
SystemRequirements: IBM ILOG CPLEX libraries and headers

Packaged: 2021-11-21 20:04:12 UTC; parallels

Packaged: 2021-12-04 20:19:41 UTC; parallels

Description: 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 http://gallery.rcpp.org, the paper by Eddelbuettel and
Francois (2011, JSS), and the book by Eddelbuettel (2013, Springer); see
'citation("Rcpp")' for details on these last two.
Suggests: RUnit, inline, rbenchmark, highlight, pkgKitten (>= 0.1.2)