Package: ccmm 1.0
Michael B. Sohn
ccmm: Compositional Mediation Model
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).
Authors:
ccmm_1.0.tar.gz
ccmm_1.0.tar.gz(r-4.5-noble)ccmm_1.0.tar.gz(r-4.4-noble)
ccmm_1.0.tgz(r-4.4-emscripten)ccmm_1.0.tgz(r-4.3-emscripten)
ccmm.pdf |ccmm.html✨
ccmm/json (API)
| # Install 'ccmm' in R: |
| install.packages('ccmm', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Datasets:
- ccmm_test_data - Test Data
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 7 years agofrom:1c29696368. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Dec 18 2024 |
| R-4.5-linux | OK | Dec 18 2024 |
Exports:ccmmccmm.saccmm.sensitivitytide.ci.zero.rho
Dependencies:MASS
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Causal Compositional Mediation Model | ccmm-package |
| Causal Compositional Mediation Model | ccmm |
| Test Data | ccmm_test_data |
| Sensitivity analysis | ccmm.sa |
| Sensitivity analysis | ccmm.sensitivity |
| Bootstrap samples of TIDE with zero correlation | tide.ci.zero.rho |