HIMA: High-Dimensional Mediation Analysis

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 Haixiang Zhang, Yinan Zheng, Zhou Zhang, Tao Gao, Brian Joyce, Grace Yoon, Wei Zhang, Joel Schwartz, Allan Just, Elena Colicino, Pantel Vokonas, Lihui Zhao, Jinchi Lv, Andrea Baccarelli, Lifang Hou, Lei Liu (2016) <doi:10.1093/bioinformatics/btw351>.

Version: 1.1.0
Depends: R (≥ 3.4.0), ncvreg, glmnet
Imports: utils, stats, MASS, survival, HDMT, iterators, parallel, foreach, doParallel
Published: 2021-05-15
Author: Yinan Zheng [aut, cre], Haixiang Zhang [aut], Lifang Hou [aut], Lei Liu [aut, cph]
Maintainer: Yinan Zheng <y-zheng at northwestern.edu>
BugReports: https://github.com/YinanZheng/HIMA/issues/
License: GPL-3
URL: https://github.com/YinanZheng/HIMA/
NeedsCompilation: no
Citation: HIMA citation info
Materials: README NEWS
CRAN checks: HIMA results

Documentation:

Reference manual: HIMA.pdf

Downloads:

Package source: HIMA_1.1.0.tar.gz
Windows binaries: r-devel: HIMA_1.1.0.zip, r-release: HIMA_1.1.0.zip, r-oldrel: HIMA_1.1.0.zip
macOS binaries: r-release (arm64): HIMA_1.1.0.tgz, r-release (x86_64): HIMA_1.1.0.tgz, r-oldrel: HIMA_1.1.0.tgz
Old sources: HIMA archive

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