Package: PINMA 1.1-2
PINMA: Improved Methods for Constructing Prediction Intervals for Network Meta-Analysis
Improved methods to construct prediction intervals for network meta-analysis. The parametric bootstrap and Kenward-Roger-type adjustment by Noma et al. (2022) <forthcoming> are implementable.
Authors:
PINMA_1.1-2.tar.gz
PINMA_1.1-2.zip(r-4.5)PINMA_1.1-2.zip(r-4.4)PINMA_1.1-2.zip(r-4.3)
PINMA_1.1-2.tgz(r-4.4-any)PINMA_1.1-2.tgz(r-4.3-any)
PINMA_1.1-2.tar.gz(r-4.5-noble)PINMA_1.1-2.tar.gz(r-4.4-noble)
PINMA_1.1-2.tgz(r-4.4-emscripten)PINMA_1.1-2.tgz(r-4.3-emscripten)
PINMA.pdf |PINMA.html✨
PINMA/json (API)
NEWS
| # Install 'PINMA' in R: |
| install.packages('PINMA', repos = c('https://nomahi.r-universe.dev', 'https://cloud.r-project.org')) |
- dstr - Siontis et al. (2018)'s network meta-analysis data
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 years agofrom:47e899579a. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 31 2024 |
| R-4.5-win | OK | Oct 31 2024 |
| R-4.5-linux | OK | Oct 31 2024 |
| R-4.4-win | OK | Oct 31 2024 |
| R-4.4-mac | OK | Oct 31 2024 |
| R-4.3-win | OK | Oct 31 2024 |
| R-4.3-mac | OK | Oct 31 2024 |
Dependencies:latticeMASSmathjaxrMatrixmetadatmetafornlmenumDerivpbapply
