grpreg: Regularization Paths for Regression Models with Grouped Covariates

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

Patrick Breheny • Yaohui Zeng • Ryan Kurth • View description and downloads View dependencies GitHub project

2008 Published

0 Citations

3 Authors

32 Revisions

3.5.0 Version

GPL-3 License

Referenced by ⇅	Year
sparseGAM: Sparse Generalized Additive Models (Version 1.0)	2021
mixedLSR: Mixed, Low-Rank, and Sparse Multivariate Regression on High-Dimensional Data (Version 0.1.0)	2022
DMRnet: Delete or Merge Regressors Algorithms for Linear and Logistic Model Selection and High-Dimensional Data (Version 0.4.0)	2017
MTAFT: Data-Driven Estimation for Multi-Threshold Accelerate Failure Time Model (Version 0.1.0)	2023
NVCSSL: Nonparametric Varying Coefficient Spike-and-Slab Lasso (Version 2.0)	2020
PCLassoReg: Group Regression Models for Risk Protein Complex Identification (Version 1.0.0)	2021
SSGL: Spike-and-Slab Group Lasso for Group-Regularized Generalized Linear Models (Version 1.0)	2023
bestglm: Best Subset GLM and Regression Utilities (Version 0.37.3)	2009
fetwfe: Fused Extended Two-Way Fixed Effects (Version 0.4.4)	2025
fsemipar: Estimation, Variable Selection and Prediction for Functional Semiparametric Models (Version 1.1.1)	2023
geoGAM: Select Sparse Geoadditive Models for Spatial Prediction (Version 0.1-3)	2016
kko: Kernel Knockoffs Selection for Nonparametric Additive Models (Version 1.0.1)	2022
naivereg: Nonparametric Additive Instrumental Variable Estimator and Related IV Methods (Version 1.0.5)	2018
refund: Regression with Functional Data (Version 0.1-37)	2010
riskRegression: Risk Regression Models and Prediction Scores for Survival Analysis with Competing Risks (Version 2023.12.21)	2011
spfda: Function-on-Scalar Regression with Group-Bridge Penalty (Version 0.9.1)	2020

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