osqp: Quadratic Programming Solver using the 'OSQP' Library

Canonical link: https://scholar.rpkg.net/pkg/osqp

Bartolomeo Stellato • Goran Banjac • Paul Goulart • Stephen Boyd • Eric Anderson • Vineet Bansal • Balasubramanian Narasimhan • View description and downloads View dependencies GitHub project

2018 Published

0.6.3.2 Version

0 Citations

7 Authors

Referenced by ⇅	Year
cort: Some Empiric and Nonparametric Copula Models (Version 0.3.2)	2020
CVXR: Disciplined Convex Optimization (Version 1.0-12)	2017
FoReco: Forecast Reconciliation (Version 0.2.6)	2020
L2E: Robust Structured Regression via the L2 Criterion (Version 2.0)	2022
ROI.plugin.osqp: 'osqp' Plugin for the 'R' Optimization Infrastructure (Version 1.0-1)	2020
WeightIt: Weighting for Covariate Balance in Observational Studies (Version 1.0.0)	2017
biosensors.usc: Distributional Data Analysis Techniques for Biosensor Data (Version 1.0)	2022
causalOT: Optimal Transport Weights for Causal Inference (Version 1.0.2)	2022
cgaim: Constrained Groupwise Additive Index Models (Version 1.0.1)	2022
frechet: Statistical Analysis for Random Objects and Non-Euclidean Data (Version 0.3.0)	2020
graphicalExtremes: Statistical Methodology for Graphical Extreme Value Models (Version 0.3.1)	2019
independenceWeights: Estimates Weights for Confounding Control for Continuous-Valued Exposures (Version 0.0.1)	2022
isodistrreg: Isotonic Distributional Regression (IDR) (Version 0.1.0)	2021
optweight: Targeted Stable Balancing Weights Using Optimization (Version 0.2.5)	2018
powerly: Sample Size Analysis for Psychological Networks and More (Version 1.8.6)	2021
sbw: Stable Balancing Weights for Causal Inference and Missing Data (Version 1.1.5)	2019
skedastic: Handling Heteroskedasticity in the Linear Regression Model (Version 2.0.2)	2020

RPKG Scholar presents a tabulation of an author's contribution in the development of R packages stored in the Comprehensive R Archive Network (CRAN). Within this site, we consider package dependencies (suggests,imports,depends,enhances) as citations because we believe that using one's package to develop another is tantamount to citing the author of the package being imported, suggested or enhanced.