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Replicate (version 1.2.0)

Statistical Metrics for Multisite Replication Studies

Description

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; ) for details.

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Version

Install

install.packages('Replicate')

Monthly Downloads

166

Version

1.2.0

License

GPL-2

Maintainer

Maya Mathur

Last Published

November 28th, 2019

Functions in Replicate (1.2.0)

t2_lkl

Compute marginal log-likelihood of tau^2
p_orig

Statistical consistency of original study with replication
pred_int

Compute prediction interval for replication study given original
prob_signif_agree

Compute probability of "significance agreement" between replication and original study
stronger_than-deprecated

Probability of true effect stronger than threshold of scientific importance
Replicate-deprecated

Deprecated functions in package Replicate.