Package: HDMAADMM
Type: Package
Title: ADMM for High-Dimensional Mediation Models
Version: 0.1.0
Date: 2024-08-30
Authors@R: c(person(given = "Pei-Shan",
           family = "Yen", 
           email = "peishan0824@gmail.com",
           role = c("aut",'cre'), 
           comment = c(ORCID = '0000-0001-7386-0552')),
           person(given = "Ching-Chuan",
           family = "Chen",
           role = c("aut"),
           email = "zw12356@gmail.com",
           comment = c(ORCID = '0009-0007-8273-3206')))
Maintainer: Pei-Shan Yen <peishan0824@gmail.com>
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>.
License: MIT + file LICENSE
Depends: R (>= 4.0.0)
Imports: Rcpp (>= 1.0.0), dqrng, RcppEigen
LinkingTo: Rcpp, RcppEigen
Suggests: testthat, roxygen2
Encoding: UTF-8
URL: https://github.com/psyen0824/HDMAADMM
BugReports: https://github.com/psyen0824/HDMAADMM/issues
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.2
Repository: https://psyen0824.r-universe.dev
Date/Publication: 2024-09-02 14:53:09 UTC
RemoteUrl: https://github.com/psyen0824/hdmaadmm
RemoteRef: HEAD
RemoteSha: 5ab01e892464785b9b570e09801d6a348f6f53dd
NeedsCompilation: yes
Packaged: 2026-10-04 07:45:58 UTC; root
Author: Pei-Shan Yen [aut, cre] (ORCID:
    <https://orcid.org/0000-0001-7386-0552>),
  Ching-Chuan Chen [aut] (ORCID: <https://orcid.org/0009-0007-8273-3206>)