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

Documentation:

Reference manual:

RandMeta.pdf

Downloads:

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
macOS binaries:	r-release (arm64): RandMeta_0.1.0.tgz, r-oldrel (arm64): RandMeta_0.1.0.tgz, r-release (x86_64): RandMeta_0.1.0.tgz, r-oldrel (x86_64): RandMeta_0.1.0.tgz

Linking:

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