Replicate: Statistical Metrics for Multisite Replication Studies

For a multisite replication project, computes the consistency metric P_orig, which is the probability that the original study would observe an estimated effect size as extreme or more extreme than it actually did, if in fact the original study were statistically consistent with the replications. Other recommended metrics are: (1) the probability of a true effect of scientifically meaningful size in the same direction as the estimate the original study; and (2) the probability of a true effect of meaningful size in the direction opposite the original study's estimate. These two can be computed using the package \code{MetaUtility::prop_stronger}. Additionally computes older metrics used in replication projects (namely expected agreement in "statistical significance" between an original study and replication studies as well as prediction intervals for the replication estimates). See Mathur and VanderWeele (under review; <https://osf.io/apnjk/>) for details.

Version: 1.2.0
Imports: metafor, stats, ggplot2
Published: 2019-11-28
Author: Maya B. Mathur, Tyler J. VanderWeele
Maintainer: Maya B. Mathur <mmathur at stanford.edu>
License: GPL-2
NeedsCompilation: no
CRAN checks: Replicate results

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Reference manual: Replicate.pdf
Package source: Replicate_1.2.0.tar.gz
Windows binaries: r-devel: Replicate_1.2.0.zip, r-devel-gcc8: Replicate_1.2.0.zip, r-release: Replicate_1.2.0.zip, r-oldrel: Replicate_1.2.0.zip
OS X binaries: r-release: Replicate_1.2.0.tgz, r-oldrel: Replicate_1.2.0.tgz
Old sources: Replicate archive

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