PINMA: Improved Methods for Constructing Prediction Intervals forNetwork 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.
| Version: | 1.1-2 |
| Depends: | R (≥ 3.5.0) |
| Imports: | stats,MASS,metafor |
| Published: | 2023-05-22 |
| DOI: | 10.32614/CRAN.package.PINMA |
| Author: | Hisashi Noma [aut, cre] |
| Maintainer: | Hisashi Noma <noma at ism.ac.jp> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| Materials: | NEWS |
| In views: | MetaAnalysis |
| CRAN checks: | PINMA results |
Documentation:
| Reference manual: | PINMA.html ,PINMA.pdf |
Downloads:
| Package source: | PINMA_1.1-2.tar.gz |
| Windows binaries: | r-devel:PINMA_1.1-2.zip, r-release:PINMA_1.1-2.zip, r-oldrel:PINMA_1.1-2.zip |
| macOS binaries: | r-release (arm64):PINMA_1.1-2.tgz, r-oldrel (arm64):PINMA_1.1-2.tgz, r-release (x86_64):PINMA_1.1-2.tgz, r-oldrel (x86_64):PINMA_1.1-2.tgz |
| Old sources: | PINMA archive |
Linking:
Please use the canonical formhttps://CRAN.R-project.org/package=PINMAto link to this page.