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cccp  

Cone Constrained Convex Problems
View on CRAN: Click here


Download and install cccp package within the R console
Install from CRAN:
install.packages("cccp")

Install from Github:
library("remotes")
install_github("cran/cccp")

Install by package version:
library("remotes")
install_version("cccp", "0.3-3")



Attach the package and use:
library("cccp")
Maintained by
Bernhard Pfaff
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-02-10
Latest Update: 2025-07-30
Description:
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 for more information).
How to cite:
Bernhard Pfaff (2015). cccp: Cone Constrained Convex Problems. R package version 0.3-3, https://cran.r-project.org/web/packages/cccp. Accessed 06 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:25), 0.2-4 (2015-02-10 10:39), 0.2-7 (2020-10-30 17:00), 0.2-9 (2022-09-09 19:12), 0.3-1 (2023-12-09 18:50), 0.3-2 (2025-07-31 00:30)
Other packages that cited cccp R package
View cccp citation profile
Other R packages that cccp depends, imports, suggests or enhances
Complete documentation for cccp
Functions, R codes and Examples using the cccp R package
Some associated functions: CPD-class . Rcpp_CONEC-class . Rcpp_CPG-module . Rcpp_CPS-class . Rcpp_CTRL-class . Rcpp_DCP-class . Rcpp_DLP-class . Rcpp_DNL-class . Rcpp_DQP-class . Rcpp_PDV-class . cccp . cps . ctrl . dcp . dlp . dnl . dqp . getFoo . gp . l1 . nlfc . nnoc . psdc . rp . socc . 
Some associated R codes: AllGenerics.R . cccp.R . ctrl.R . dcp.R . dlp.R . dnl.R . dqp.R . gp.R . l1.R . nlfc.R . nnoc.R . psdc.R . rp.R . socc.R . zzz.R .  Full cccp package functions and examples
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