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: | 1.0.7 |
| Depends: | R (≥ 3.3), ncvreg |
| Imports: | stats, iterators, parallel, foreach, doParallel |
| Published: | 2018-03-06 |
| 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_1.0.7.tar.gz |
| Windows binaries: | r-devel: HIMA_1.0.7.zip, r-release: HIMA_1.0.7.zip, r-oldrel: HIMA_1.0.7.zip |
| macOS binaries: | r-release: HIMA_1.0.7.tgz, r-oldrel: HIMA_1.0.7.tgz |
| Old sources: | HIMA archive |
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