The R Optimization Infrastructure ('ROI') <doi:10.18637/jss.v094.i15>
	is a sophisticated framework for handling optimization problems in R.
	Additional information can be found on the 'ROI' homepage <https://roi.r-forge.r-project.org/>.

Provides read and write support for the Conic Benchmark Format
    (CBF, version 4) within the R Optimization Infrastructure ('ROI').
    Supported cone types include the positive orthant, second-order (SOC),
    rotated second-order (bridged automatically to standard SOC), exponential
    (primal and dual), power (primal and dual), and semidefinite
    (symmetric-vectorised) cones, as well as their mixed-integer variants.
    The reader translates a .cbf file into an ROI 'OP' object, handling
    coordinate-convention differences between CBF and ROI transparently;
    the writer serialises an ROI 'OP' object back to CBF plain-text.

A collection of non-linear optimization problems with box bounds
             transformed into 'ROI' optimization problems.
             This package provides a wrapper around the 'globalOptTests'
             which provides a collection of global optimization problems.
             More information can be found in the 'README' file.

The mixed integer programming library 'MIPLIB' (see <http://miplib.zib.de/>) 
	is commonly used to compare the performance of mixed integer optimization solvers.
	This package provides functions to access 'MIPLIB' from the 
	'R' Optimization Infrastructure ('ROI'). More information about 'MIPLIB'
	can be found in the paper by Koch et al. available at
	<http://mpc.zib.de/index.php/MPC/article/viewFile/56/28>.
	The 'README.md' file illustrates how to use this package.

A collection of 'ROI' optimization problems based on the 'NETLIB-LP' collection.
  'Netlib' is a software repository, which amongst many other software for scientific computing contains a collection of linear programming problems. The purpose of this package is to make 
  this problems easily accessible from 'R' as 'ROI' optimization problems.