Package: bcmixed 0.1.5
bcmixed: Mixed Effect Model with the Box-Cox Transformation
Inference on the marginal model of the mixed effect model with the Box-Cox transformation and on the model median differences between treatment groups for longitudinal randomized clinical trials. These statistical methods are proposed by Maruo et al. (2017) <doi:10.1002/sim.7279>.
Authors:
bcmixed_0.1.5.tar.gz
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bcmixed_0.1.5.tgz(r-4.4-any)bcmixed_0.1.5.tgz(r-4.3-any)
bcmixed_0.1.5.tar.gz(r-4.5-noble)bcmixed_0.1.5.tar.gz(r-4.4-noble)
bcmixed_0.1.5.tgz(r-4.4-emscripten)bcmixed_0.1.5.tgz(r-4.3-emscripten)
bcmixed.pdf |bcmixed.html✨
bcmixed/json (API)
NEWS
| # Install 'bcmixed' in R: |
| install.packages('bcmixed', repos = c('https://kzkzmr.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/kzkzmr/bcmixed/issues
Datasets:
- aidscd4 - CD4 Cells Count Data in Aids Randomized Controlled Clinical Trial.
Last updated 1 years agofrom:cc4d0d3f7b. Checks:OK: 5 NOTE: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 30 2024 |
| R-4.5-win | NOTE | Oct 30 2024 |
| R-4.5-linux | NOTE | Oct 30 2024 |
| R-4.4-win | OK | Oct 30 2024 |
| R-4.4-mac | OK | Oct 30 2024 |
| R-4.3-win | OK | Oct 30 2024 |
| R-4.3-mac | OK | Oct 30 2024 |
