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pimeta: Prediction Intervals for Random-Effects Meta-Analysis

An implementation of prediction intervals for random-effects meta-analysis: Higgins et al. (2009) <doi:10.1111/j.1467-985X.2008.00552.x>, Partlett and Riley (2017) <doi:10.1002/sim.7140>, and Nagashima et al. (2019) <doi:10.1177/0962280218773520>, <doi:10.48550/arXiv.1804.01054>.

Version: 1.1.3
Depends: R (≥ 3.2.0)
Imports: stats, Rcpp (≥ 1.0.2), ggplot2 (≥ 3.2.1), scales (≥ 1.0.0), utils
LinkingTo: Rcpp, RcppEigen
Suggests: knitr, rmarkdown
Published: 2019-09-17
DOI: 10.32614/CRAN.package.pimeta
Author: Kengo Nagashima ORCID iD [aut, cre], Hisashi Noma [aut], Toshi A. Furukawa [aut]
Maintainer: Kengo Nagashima <nshi1201 at gmail.com>
License: GPL-3
NeedsCompilation: yes
Citation: pimeta citation info
Materials: README NEWS
In views: MetaAnalysis
CRAN checks: pimeta results

Documentation:

Reference manual: pimeta.pdf
Vignettes: Introduction to the 'pimeta' package

Downloads:

Package source: pimeta_1.1.3.tar.gz
Windows binaries: r-devel: pimeta_1.1.3.zip, r-release: pimeta_1.1.3.zip, r-oldrel: pimeta_1.1.3.zip
macOS binaries: r-release (arm64): pimeta_1.1.3.tgz, r-oldrel (arm64): pimeta_1.1.3.tgz, r-release (x86_64): pimeta_1.1.3.tgz, r-oldrel (x86_64): pimeta_1.1.3.tgz
Old sources: pimeta archive

Reverse dependencies:

Reverse suggests: meta

Linking:

Please use the canonical form https://CRAN.R-project.org/package=pimeta to link to this page.

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.