CVXR: Disciplined Convex Optimization

Canonical link: https://rscholar.com/pkg/CVXR

Anqi Fu • Balasubramanian Narasimhan • David W Kang • Steven Diamond • John Miller • Stephen Boyd • Paul Kunsberg Rosenfield • View description and downloads View dependencies GitHub project

2017 Published

0 Citations

7 Authors

18 Revisions

1.0-15 Version

Apache License 2.0 License

Referenced by ⇅	Year
PlaneGeometry: Plane Geometry (Version 1.6.0)	2020
finbipartite: Learning Bipartite Graphs: Heavy Tails and Multiple Components (Version 0.1.0)	2023
spectralGraphTopology: Learning Graphs from Data via Spectral Constraints (Version 0.2.3)	2019
CopSens: Copula-Based Sensitivity Analysis for Observational Causal Inference (Version 0.1.0)	2022
DebiasInfer: Efficient Inference on High-Dimensional Linear Model with Missing Outcomes (Version 0.2)	2023
EpiForsk: Code Sharing at the Department of Epidemiology Research at Statens Serum Institut (Version 0.2.0)	2023
HonestDiD: Robust Inference in Difference-in-Differences and Event Study Designs (Version 0.2.6)	2024
LavaCvxr: Lava Estimation for the Sum of Sparse and Dense Signals(3 Methods) (Version 1.0.2)	2021
PortfolioAnalytics: Portfolio Analysis, Including Numerical Methods for Optimization of Portfolios (Version 2.1.0)	2015
SLSEdesign: Optimal Regression Design under the Second-Order Least Squares Estimator (Version 0.0.5)	2024
ecpc: Flexible Co-Data Learning for High-Dimensional Prediction (Version 3.1.1)	2021
glmmrOptim: Approximate Optimal Experimental Designs Using Generalised Linear Mixed Models (Version 0.3.6)	2023
scpi: Prediction Intervals for Synthetic Control Methods with Multiple Treated Units and Staggered Adoption (Version 3.0.1)	2022
spBPS: Bayesian Predictive Stacking for Scalable Geospatial Transfer Learning (Version 0.0-4)	2024
transreg: Penalised Regression with Multiple Sets of Prior Effects ('Transfer Learning') (Version 1.0.5)	2023
CopSens Inference: (Version )	0
DiSCos: Distributional Synthetic Controls Estimation (Version 0.1.2)	2024
EmpiricalDynamics Data: (Version )	0
GhostKnockoff: The Knockoff Inference Using Summary Statistics (Version 0.1.0)	2021
HonestDiD Designs: (Version )	0
MaximinInfer: Inference for Maximin Effects in High-Dimensional Settings (Version 2.0.0)	2021
PlackettLuce: Plackett-Luce Models for Rankings (Version 0.4.4)	2017
Rdimtools: Dimension Reduction and Estimation Methods (Version 1.1.3)	2017
Riemann: Learning with Data on Riemannian Manifolds (Version 0.1.6)	2020
RobustIV: Robust Instrumental Variable Methods in Linear Models (Version 0.2.5)	2022
SIHR: Statistical Inference in High Dimensional Regression (Version 2.1.0)	2021
SLSEdesign Estimator: (Version )	0
WRI: Wasserstein Regression and Inference (Version 0.2.1)	2020
aramappings: Computes Adaptable Radial Axes Mappings (Version 0.1.2)	2025
ccar3: Canonical Correlation Analysis via Reduced Rank Regression (Version 0.1.0)	2025
cuadramelo: Matrix Balancing and Rounding (Version 1.0.0)	2024
fairml: Fair Models in Machine Learning (Version 0.9)	2020
filling: Matrix Completion, Imputation, and Inpainting Methods (Version 0.2.4)	2017
fungible: Psychometric Functions from the Waller Lab (Version 2.4.4.1)	2015
graphicalExtremes: Statistical Methodology for Graphical Extreme Value Models (Version 0.3.4)	2019
hedgedrf: An Implementation of the Hedged Random Forest Algorithm (Version 1.0.1)	2024
kantorovich: Kantorovich Distance Between Probability Measures (Version 3.2.0)	2016
migest: Tools for Estimating, Measuring and Working with Migration Data (Version 2.0.5)	2012
mlr3fairness: Fairness Auditing and Debiasing for 'mlr3' (Version 0.4.0)	2022
portfolioBacktest: Automated Backtesting of Portfolios over Multiple Datasets (Version 0.4.1)	2019
pvEBayes: Empirical Bayes Methods for Pharmacovigilance (Version 0.2.1)	2025
rclsp Problems: (Version )	0
spBPS Learning: (Version )	0
spStack: Bayesian Geostatistics Using Predictive Stacking (Version 1.1.2)	2024
starnet: Stacked Elastic Net (Version 1.0.0)	2020
tramnet: Penalized Transformation Models (Version 0.0-10)	2020
wdnet: Weighted and Directed Networks (Version 1.2.3)	2022

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.