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.


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install.packages("predictionInterval")

1.0.0 by David Stanley, a year ago


Browse source code at https://github.com/cran/predictionInterval


Authors: David Stanley


Documentation:   PDF Manual  


MIT License + file LICENSE license


Imports ggplot2, MBESS, MASS, stats, pbapply


See at CRAN