spcma-package: Sparse Principal Component based High-Dimensional Mediation...
In zhaoyi1026/spcma: Sparse Principal Component based High-Dimensional Mediation Analysis
Description
Details
Author(s)
References
Description
Performs Sparse Principal Component based Mediation Analysis (spcma). See Zhao, Y., Lindquist, M. A., & Caffo, B. S. (2018), Sparse Principal Component Based High-Dimensional Mediation Analysis, <arXiv:1806.06118> for details.
Details
Package: spcma
Type: Package
Version: 1.0
Date: 2018-06-19
License: GPL (>=2)
Author(s)
Yi Zhao <zhaoyi1026@gmail.com>
Martin A. Lindquist <mal2053@gmail.com>
Brian S. Caffo <bcaffo@gmail.com>
Maintainer: Yi Zhao <zhaoyi1026@gmail.com>
References
Zhao, Lindquist and Caffo (2018). “Sparse principal component based high-dimensional mediation analysis”. arXiv preprint arXiv:1806.06118.
zhaoyi1026/spcma documentation built on May 4, 2019, 1:23 p.m.
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Description Details Author(s) References
Description
Performs Sparse Principal Component based Mediation Analysis (spcma). See Zhao, Y., Lindquist, M. A., & Caffo, B. S. (2018), Sparse Principal Component Based High-Dimensional Mediation Analysis, <arXiv:1806.06118> for details.
Details
| Package: | spcma |
| Type: | Package |
| Version: | 1.0 |
| Date: | 2018-06-19 |
| License: | GPL (>=2) |
Author(s)
Yi Zhao <zhaoyi1026@gmail.com> Martin A. Lindquist <mal2053@gmail.com> Brian S. Caffo <bcaffo@gmail.com>
Maintainer: Yi Zhao <zhaoyi1026@gmail.com>
References
Zhao, Lindquist and Caffo (2018). “Sparse principal component based high-dimensional mediation analysis”. arXiv preprint arXiv:1806.06118.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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