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-4.7-any)PINMA_1.1-2.zip(r-4.6-any)PINMA_1.1-2.zip(r-4.5-any)
PINMA_1.1-2.tgz(r-4.6-any)PINMA_1.1-2.tgz(r-4.5-any)
PINMA_1.1-2.tar.gz(r-4.7-any)PINMA_1.1-2.tar.gz(r-4.6-any)
PINMA_1.1-2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
PINMA/json (API)
| # 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 from:47e899579a. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 128 | ||
| source / vignettes | OK | 163 | ||
| linux-release | OK | 137 | ||
| macos-release | OK | 122 | ||
| macos-oldrel | OK | 104 | ||
| windows-devel | OK | 86 | ||
| windows-release | OK | 60 | ||
| windows-oldrel | OK | 68 | ||
| wasm-release | OK | 94 |
Dependencies:digestlatticeMASSmathjaxrMatrixmetadatmetafornlmenumDerivpbapply
