Package: hdmed
Title: Methods for Mediation Analysis with High-Dimensional Mediators
Version: 1.0.0
Authors@R: 
    c(person(given = "Dylan",
           family = "Clark-Boucher",
           role = c("aut", "cre"),
           email = "dclarkboucher@fas.harvard.edu"),
      person(given = "Mike",
           family = "Kleinsasser",
           role = c("aut"),
           email = "mkleinsa@umich.edu"))
Maintainer: Dylan Clark-Boucher <dclarkboucher@fas.harvard.edu>
Description: A suite of functions for performing mediation
    analysis with high-dimensional mediators. In addition to centralizing code 
    from several existing packages for high-dimensional mediation analysis, we 
    provide organized, well-documented functions for a handle of methods 
    which, though programmed their original authors, have not previously been 
    formalized into R packages or been made presentable for public use. The 
    methods we include cover a broad array of approaches and objectives, and are
    described in detail by both our companion manuscript---"Methods for 
    Mediation Analysis with High-Dimensional DNA Methylation Data: Possible 
    Choices and Comparison"---and the original publications that proposed them. 
    The specific methods offered by our package include the Bayesian sparse 
    linear mixed model (BSLMM) by Song et al. (2019); high-dimensional mediation
    analysis (HDMA) by Gao et al. (2019); high-dimensional multivariate 
    mediation (HDMM) by Chén et al. (2018); high-dimensional linear mediation 
    analysis (HILMA) by Zhou et al. (2020); high-dimensional mediation analysis
    (HIMA) by Zhang et al. (2016); latent variable mediation analysis (LVMA) by 
    Derkach et al. (2019); mediation by fixed-effect model (MedFix) by 
    Zhang (2021); pathway LASSO by Zhao & Luo (2022); principal component 
    mediation analysis (PCMA) by Huang & Pan (2016); and sparse principal 
    component mediation analysis (SPCMA) by Zhao et al. (2020). Citations for 
    the corresponding papers can be found in their respective functions.
License: GPL (>= 3)
Encoding: UTF-8
RoxygenNote: 7.2.3
Depends: R (>= 2.10)
LazyData: true
Imports: bama (>= 1.3.0), foreach (>= 1.5.2), freebird (>= 1.0), gcdnet
        (>= 1.0.6), genlasso (>= 1.6.1), hdi (>= 0.1.9), iterators (>=
        1.0.14), MASS, mediation (>= 4.5.0), ncvreg (>= 3.13.0), stats,
        utils
NeedsCompilation: no
Packaged: 2023-02-25 16:46:06 UTC; dc48b
Author: Dylan Clark-Boucher [aut, cre],
  Mike Kleinsasser [aut]
Repository: CRAN
Date/Publication: 2023-02-27 08:42:31 UTC
Built: R 4.1.2; ; 2023-02-28 12:56:54 UTC; unix
