c(person("Thomas J.", "Leeper", role = c("aut", "cre"),
email = "thosjleeper@gmail.com"),
person("Kevin", "Little", role = "ctb",
email = "klittle@iecodesign.com"),
person("Stephan", "Renatus", role = "ctb"))
stats, utils, httr, jsonlite, curl, plyr
Thomas J. Leeper [aut, cre],
Kevin Little [ctb],
Stephan Renatus [ctb]

Rmosek is an interface to the MOSEK Optimization Software designed to
solve large-scale mathematical optimization problems. MOSEK provides
specialized solvers for linear programming, mixed integer programming
and many types of nonlinear convex optimization problems. Trial and
free academic licenses available at http://www.mosek.com.

Rmosek is an interface to the MOSEK Optimization Software
designed to solve large-scale mathematical optimization
problems. MOSEK provides specialized solvers for linear
programming, mixed integer programming and many types of
nonlinear convex optimization problems. Trial and free academic
licenses available at http://www.mosek.com.

An interface to the MOSEK optimization library designed to
solve large-scale mathematical optimization problems. Supports
linear, quadratic and second order cone optimization
with/without integer variables, in addition to the more general
separable convex problems.  Trial and free academic licenses
available at http://www.mosek.com.

This is a generic meta-package designed to make the optimization
facilities of MOSEK available from the R-language. The interface supports
large-scale optimization of many kinds: Mixed-integer and continuous linear,
second-order cone, exponential cone and power cone optimization, as well as
continuous semidefinite optimization. Rmosek and the R-language are
open-source projects. MOSEK is a proprietary product, but
unrestricted trial and academic licenses are available.

This is a meta-package designed to support the
installation of Rmosek (>= 6.0) and bring the optimization
facilities of MOSEK (>= 6.0) to the R-language. The interface
supports large-scale optimization of many kinds: Mixed-integer
and continuous linear, second-order cone, exponential cone and
power cone optimization, as well as continuous semidefinite
optimization. Rmosek and the R-language are open-source
projects. MOSEK is a proprietary product, but unrestricted
trial and academic licenses are available.