High-dimensional Linear Regression with Correlated Compositional Covariates
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Updated
Sep 6, 2024 - C++
High-dimensional Linear Regression with Correlated Compositional Covariates
Variable selection for heterogeneous populations using the vennLasso penalty
Implements Synergistic Antagonistic Interaction Detection (SAID) for modeling interactions between health effects of exposures.
Algorithms for the min-Knapsack problem with compactness constraints.
Best Subset Selection algorithm for Regression, Classification, Count, Survival analysis
Conditional Distance Correlation based Statistical Method
Wrapper functions for GUESS
Code and Simulations using Bayesian Approximate Kernel Regression (BAKR)
Penalized least squares estimation using the Orthogonalizing EM (OEM) algorithm
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