Package: HIMA
Type: Package
Title: High-Dimensional Mediation Analysis
Version: 1.0.5
Date: 2017-11-05
Authors@R: c(person("Yinan","Zheng", role = c("aut","cre"), email = "y-zheng@northwestern.edu"), 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 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>.
License: GPL-3
Depends: R (>= 3.3), ncvreg
Imports: stats, iterators, parallel, foreach, doParallel
Collate: utils.R simHIMA.R hima.R HIMA-package.R
LazyData: false
URL: https://github.com/YinanZheng/HIMA
BugReports: https://github.com/YinanZheng/HIMA/issues
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-11-08 19:26:29 UTC; yzk256
Author: Yinan Zheng [aut, cre],
  Haixiang Zhang [aut],
  Lifang Hou [aut],
  Lei Liu [aut, cph]
Maintainer: Yinan Zheng <y-zheng@northwestern.edu>
Repository: CRAN
Date/Publication: 2017-11-08 20:29:10 UTC
