Estimate the direct and indirect (mediation) effects of treatment on the outcome when intermediate variables (mediators) are compositional and high-dimensional. Sohn, M.B. and Li, H. (2017). Compositional Mediation Analysis for Microbiome Studies. (AOAS: In revision).
| Version: | 1.0 |
| Imports: | MASS |
| Published: | 2017-08-28 |
| DOI: | 10.32614/CRAN.package.ccmm |
| Author: | Michael B. Sohn |
| Maintainer: | Michael B. Sohn <msohn at mail.med.upenn.edu> |
| License: | GPL-2 |GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| CRAN checks: | ccmm results |
| Reference manual: | ccmm.html ,ccmm.pdf |
| Package source: | ccmm_1.0.tar.gz |
| Windows binaries: | r-devel:ccmm_1.0.zip, r-release:ccmm_1.0.zip, r-oldrel:ccmm_1.0.zip |
| macOS binaries: | r-release (arm64):ccmm_1.0.tgz, r-oldrel (arm64):ccmm_1.0.tgz, r-release (x86_64):ccmm_1.0.tgz, r-oldrel (x86_64):ccmm_1.0.tgz |
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