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HDMAADMM

ADMM for High-Dimensional Mediation Models

v0.0.1 · Nov 29, 2023 · MIT + file LICENSE

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). <doi:10.1561/2200000016>, Fan, J., & Lv, J. (2008) <doi:10.1111/j.1467-9868.2008.00674.x>, Li, C., & Li, H. (2008) <doi:10.1093/bioinformatics/btn081>, Tibshirani, R. (1996) <doi:10.1111/j.2517-6161.1996.tb02080.x>, Zhao, Y., & Luo, X. (2022) <doi:10.4310/21-sii673>, and Zou, H., & Hastie, T. (2005) <doi:10.1111/j.1467-9868.2005.00503.x>.

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NOTE r-oldrel-macos-arm64

installed package size

  installed size is 17.0Mb
  sub-directories of 1Mb or more:
    libs  16.9Mb
NOTE r-oldrel-macos-x86_64

installed package size

  installed size is 17.3Mb
  sub-directories of 1Mb or more:
    libs  17.1Mb
OK r-oldrel-windows-x86_64

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Check History

NOTE 12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 9, 2026
NOTE r-oldrel-macos-arm64

installed package size

  installed size is 17.0Mb
  sub-directories of 1Mb or more:
    libs  16.9Mb
NOTE r-oldrel-macos-x86_64

installed package size

  installed size is 17.3Mb
  sub-directories of 1Mb or more:
    libs  17.1Mb

Dependency Network

Dependencies Reverse dependencies Rcpp dqrng RcppEigen HDMAADMM

Version History

new 0.0.1 Mar 9, 2026