RandMeta: Efficient Numerical Algorithm for Exact Inference in Meta Analysis

A novel numerical algorithm that provides functionality for estimating the exact 95% confidence interval of the location parameter in the random effects model, and is much faster than the naive method. Works best when the number of studies is between 6-20.

Version: 0.1.0
Depends: R (≥ 2.10)
Published: 2017-04-25
Author: Grace Deng and Lu Tian
Maintainer: Lu Tian <lutian at stanford.edu>
License: GPL-2
NeedsCompilation: no
In views: MetaAnalysis
CRAN checks: RandMeta results

Downloads:

Reference manual: RandMeta.pdf
Package source: RandMeta_0.1.0.tar.gz
Windows binaries: r-devel: RandMeta_0.1.0.zip, r-release: RandMeta_0.1.0.zip, r-oldrel: RandMeta_0.1.0.zip
OS X El Capitan binaries: r-release: RandMeta_0.1.0.tgz
OS X Mavericks binaries: r-oldrel: RandMeta_0.1.0.tgz

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