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.

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Description file content

Package
Replicate
Type
Package
Title
Statistical Metrics for Multisite Replication Studies
Version
1.2.0
Author
Maya B. Mathur, Tyler J. VanderWeele
Maintainer
Maya B. Mathur
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.
License
GPL-2
Imports
metafor, stats, ggplot2
RoxygenNote
6.1.1
NeedsCompilation
no
Packaged
2019-11-28 16:06:52 UTC; mmathur
Repository
CRAN
Date/Publication
2019-11-28 22:50:02 UTC

install.packages('Replicate')

1.2.0

16 days ago

Maya B. Mathur

GPL-2

Imports

metafor, stats, ggplot2

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