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HDMAADMM  

ADMM for High-Dimensional Mediation Models
View on CRAN: Click here


Download and install HDMAADMM package within the R console
Install from CRAN:
install.packages("HDMAADMM")

Install from Github:
library("remotes")
install_github("cran/HDMAADMM")

Install by package version:
library("remotes")
install_version("HDMAADMM", "0.0.1")



Attach the package and use:
library("HDMAADMM")
Maintained by
Pei-Shan Yen
[Scholar Profile | Author Map]
First Published: 2023-11-29
Latest Update: 2023-11-29
Description:
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). , Fan, J., & Lv, J. (2008) , Li, C., & Li, H. (2008) , Tibshirani, R. (1996) , Zhao, Y., & Luo, X. (2022) , and Zou, H., & Hastie, T. (2005) .
How to cite:
Pei-Shan Yen (2023). HDMAADMM: ADMM for High-Dimensional Mediation Models. R package version 0.0.1, https://cran.r-project.org/web/packages/HDMAADMM. Accessed 22 Feb. 2025.
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Complete documentation for HDMAADMM
Functions, R codes and Examples using the HDMAADMM R package
Full HDMAADMM package functions and examples
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