The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

cccp: Cone Constrained Convex Problems

Routines for solving convex optimization problems with cone constraints by means of interior-point methods. The implemented algorithms are partially ported from CVXOPT, a Python module for convex optimization (see <https://cvxopt.org> for more information).

Version: 0.3-1
Depends: R (≥ 3.0.1), methods
Imports: Rcpp (≥ 0.11.2)
LinkingTo: Rcpp, RcppArmadillo
Suggests: RUnit, numDeriv
Published: 2023-12-09
DOI: 10.32614/CRAN.package.cccp
Author: Bernhard Pfaff [aut, cre], Lieven Vandenberghe [cph] (copyright holder of cvxopt), Martin Andersen [cph] (copyright holder of cvxopt), Joachim Dahl [cph] (copyright holder of cvxopt)
Maintainer: Bernhard Pfaff <bernhard at pfaffikus.de>
License: GPL (≥ 3)
NeedsCompilation: yes
In views: Optimization
CRAN checks: cccp results

Documentation:

Reference manual: cccp.pdf

Downloads:

Package source: cccp_0.3-1.tar.gz
Windows binaries: r-devel: cccp_0.3-1.zip, r-release: cccp_0.3-1.zip, r-oldrel: cccp_0.3-1.zip
macOS binaries: r-release (arm64): cccp_0.3-1.tgz, r-oldrel (arm64): cccp_0.3-1.tgz, r-release (x86_64): cccp_0.3-1.tgz, r-oldrel (x86_64): cccp_0.3-1.tgz
Old sources: cccp archive

Reverse dependencies:

Reverse depends: FRAPO
Reverse imports: optiSolve
Reverse suggests: fairml, netmeta, optiSel
Reverse enhances: CVXR

Linking:

Please use the canonical form https://CRAN.R-project.org/package=cccp to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.