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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.

Version: 1.1-2
Depends: R (≥ 3.5.0)
Imports: stats, MASS, metafor
Published: 2023-05-22
Author: Hisashi Noma ORCID iD [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.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:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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