Package: HIMA
Type: Package
Title: High-Dimensional Mediation Analysis
Version: 2.3.3
Date: 2025-11-17
Authors@R: c(person("Yinan","Zheng", role = c("aut","cre"), email = "y-zheng@northwestern.edu", comment=c(ORCID="0000-0002-2006-7320")), person("Haixiang","Zhang", role = c("aut"), email = "haixiang.zhang@tju.edu.cn"), person("Lifang","Hou", role = c("aut"), email = "l-hou@northwestern.edu"), person("Lei","Liu", role = c("aut","cph"), email = "lei.liu@wustl.edu"))
Description: Allows to estimate and test high-dimensional mediation effects based on advanced mediator screening and penalized regression techniques. Methods used in the package refer to Zhang H, Zheng Y, Hou L, Liu L, HIMA: An R Package for High-Dimensional Mediation Analysis. Journal of Data Science. (2025). <doi:10.6339/25-JDS1192>.
License: GPL-3
Depends: R (>= 3.5), ncvreg, glmnet
Imports: utils, stats, MASS, survival, nlme, HDMT, hdi, conquer,
        quantreg, hommel, iterators, parallel, foreach, doParallel
Collate: utils.R hima_classic.R hima_dblasso.R hima_survival.R
        hima_survival_long.R hima_microbiome.R hima_quantile.R
        hima_efficient.R hima.R hima_data.R onAttach.R HIMA-package.R
VignetteBuilder: knitr
Suggests: knitr, rmarkdown, testthat
Encoding: UTF-8
LazyData: true
URL: https://github.com/YinanZheng/HIMA/
BugReports: https://github.com/YinanZheng/HIMA/issues/
RoxygenNote: 7.3.2
NeedsCompilation: no
Packaged: 2025-11-17 07:17:13 UTC; y-zhe
Author: Yinan Zheng [aut, cre] (ORCID: <https://orcid.org/0000-0002-2006-7320>),
  Haixiang Zhang [aut],
  Lifang Hou [aut],
  Lei Liu [aut, cph]
Maintainer: Yinan Zheng <y-zheng@northwestern.edu>
Repository: CRAN
Date/Publication: 2025-11-17 21:51:56 UTC
Built: R 4.6.0; ; 2026-04-26 08:03:08 UTC; unix
