Title: Statistical Metrics for Multisite Replication Studies
Description: For a multisite replication project, computes metrics and confidence intervals representing: (1) 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 is statistically consistent with the replications; (2) the probability of a true effect of scientifically meaningful size in the same direction as the estimate the original study; and (3) the probability of a true effect of meaningful size in the direction opposite the original study's estimate. 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 (in preparation) <https://osf.io/apnjk/> for details.

Description: For a multisite replication project, computes metrics and confidence intervals representing: (1) 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 is statistically consistent with the replications; (2) the probability of a true effect of scientifically meaningful size in the same direction as the estimate the original study; and (3) the probability of a true effect of meaningful size in the direction opposite the original study's estimate. 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 (2017; <https://osf.io/apnjk/>) for details.

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 <mmathur@stanford.edu>
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; <https://osf.io/apnjk/>)
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