HDMAADMM
ADMM for High-Dimensional Mediation Models
We use the Alternating Direction Method of Multipliers (ADMM) for parameter estimation in high-dimensional, single-modality mediation models. To improve the sensitivity and specificity of estimated mediation effects, we offer the sure independence screening (SIS) function for dimension reduction. The available penalty options include Lasso, Elastic Net, Pathway Lasso, and Network-constrained Penalty. The methods employed in the package are based on Boyd, S., Parikh, N., Chu, E., Peleato, B., & Eckstein, J. (2011).
- Version0.0.1
- R version≥ 4.0.0
- LicenseMIT
- Licensefile LICENSE
- Needs compilation?Yes
- Last release11/29/2023
Documentation
Team
Pei-Shan Yen
Ching-Chuan Chen
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- Depends1 package
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