R Package Scholar
17,002

CVXR: Disciplined Convex Optimization

Anqi Fu  Balasubramanian Narasimhan  David W Kang  Steven Diamond  John Miller  Stephen Boyd  Paul Kunsberg Rosenfield   View description and downloadsView dependenciesGitHub project

2017 Published
1.0-12 Version
0 Citations
7 Authors
Referenced by ⇅ Year
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
DiSCos: Distributional Synthetic Controls Estimation (Version 0.0.1)

2024
EpiForsk: Code Sharing at the Department of Epidemiological Research at Statens Serum Institut (Version 0.1.1)

2023
GhostKnockoff: The Knockoff Inference Using Summary Statistics (Version 0.1.0)

2021
LavaCvxr: Lava Estimation for the Sum of Sparse and Dense Signals(3 Methods) (Version 1.0.2)

2021
MaximinInfer: Inference for Maximin Effects in High-Dimensional Settings (Version 2.0.0)

2021
PlackettLuce: Plackett-Luce Models for Rankings (Version 0.4.3)

2017
PlaneGeometry: Plane Geometry (Version 1.6.0)

2020
Rdimtools: Dimension Reduction and Estimation Methods (Version 1.1.2)

2017
Riemann: Learning with Data on Riemannian Manifolds (Version 0.1.4)

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
T4transport: Tools for Computational Optimal Transport (Version 0.1.2)

2020
WRI: Wasserstein Regression and Inference (Version 0.2.0)

2020
ecpc: Flexible Co-Data Learning for High-Dimensional Prediction (Version 3.1.1)

2021
fairml: Fair Models in Machine Learning (Version 0.8)

2020
filling: Matrix Completion, Imputation, and Inpainting Methods (Version 0.2.3)

2017
finbipartite: Learning Bipartite Graphs: Heavy Tails and Multiple Components (Version 0.1.0)

2023
fungible: Psychometric Functions from the Waller Lab (Version 2.4.4)

2015
glmmrOptim: Approximate Optimal Experimental Designs Using Generalised Linear Mixed Models (Version 0.3.4)

2023
graphicalExtremes: Statistical Methodology for Graphical Extreme Value Models (Version 0.3.1)

2019
kantorovich: Kantorovich Distance Between Probability Measures (Version 3.1.0)

2016
portfolioBacktest: Automated Backtesting of Portfolios over Multiple Datasets (Version 0.4.1)

2019
scpi: Prediction Intervals for Synthetic Control Methods with Multiple Treated Units and Staggered Adoption (Version 2.2.5)

2022
spectralGraphTopology: Learning Graphs from Data via Spectral Constraints (Version 0.2.3)

2019
starnet: Stacked Elastic Net (Version 0.0.6)

2020
tramnet: Penalized Transformation Models (Version 0.0-8)

2020
transreg: Penalised Regression with Multiple Sets of Prior Effects (Version 1.0.2)

2023
wdnet: Weighted and Directed Networks (Version 1.2.3)

2022

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