The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

predictionInterval: Prediction Interval Functions for Assessing Replication Study Results

A common problem faced by journal reviewers and authors is the question of whether the results of a replication study are consistent with the original published study. One solution to this problem is to examine the effect size from the original study and generate the range of effect sizes that could reasonably be obtained (due to random sampling) in a replication attempt (i.e., calculate a prediction interval). This package has functions that calculate the prediction interval for the correlation (i.e., r), standardized mean difference (i.e., d-value), and mean.

Version: 1.0.0
Imports: ggplot2, MBESS, MASS, stats, pbapply
Published: 2016-08-20
DOI: 10.32614/CRAN.package.predictionInterval
Author: David Stanley
Maintainer: David Stanley <dstanley at uoguelph.ca>
License: MIT License + file LICENSE
NeedsCompilation: no
Materials: README
CRAN checks: predictionInterval results

Documentation:

Reference manual: predictionInterval.pdf

Downloads:

Package source: predictionInterval_1.0.0.tar.gz
Windows binaries: r-devel: predictionInterval_1.0.0.zip, r-release: predictionInterval_1.0.0.zip, r-oldrel: predictionInterval_1.0.0.zip
macOS binaries: r-release (arm64): predictionInterval_1.0.0.tgz, r-oldrel (arm64): predictionInterval_1.0.0.tgz, r-release (x86_64): predictionInterval_1.0.0.tgz, r-oldrel (x86_64): predictionInterval_1.0.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=predictionInterval to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.