HIMA: High-Dimensional Mediation Analysis

Allows to estimate and test high-dimensional mediation effects based on sure independent screening and minimax concave penalty techniques. A joint significance test is used for mediation effect. 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: 1.0.5
Depends: R (≥ 3.3), ncvreg
Imports: stats, iterators, parallel, foreach, doParallel
Published: 2017-11-08
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
Materials: README NEWS
CRAN checks: HIMA results


Reference manual: HIMA.pdf
Package source: HIMA_1.0.5.tar.gz
Windows binaries: r-devel: HIMA_1.0.5.zip, r-release: HIMA_1.0.5.zip, r-oldrel: HIMA_1.0.5.zip
OS X El Capitan binaries: r-release: HIMA_1.0.5.tgz
OS X Mavericks binaries: r-oldrel: HIMA_1.0.5.tgz


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