predictionInterval: Prediction Interval Functions for Assessing Replication Study Results

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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.

Author
David Stanley
Date of publication
2016-08-20 15:39:24
Maintainer
David Stanley <dstanley@uoguelph.ca>
License
MIT License + file LICENSE
Version
1.0.0

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Man pages

pi.d
_d_-value (i.e., standardized mean difference) Prediction...
pi.d.demo
Simulation to demonstrate the meaning of the d-value...
pi.m
Prediction interval for the mean
pi.m.demo
Simulation to demonstrate the meaning of the prediction...
pi.r
Correlation prediction interval
pi.r.demo
Simulation to demonstrate the meaning of the correlation...
predictionInterval-package
Prediction Interval Functions

Files in this package

predictionInterval
predictionInterval/NAMESPACE
predictionInterval/R
predictionInterval/R/predictionInterval.R
predictionInterval/R/meanFunctions.R
predictionInterval/R/utilityFunctions.R
predictionInterval/R/correlationFunctions.R
predictionInterval/R/dValueFunctions.R
predictionInterval/README.md
predictionInterval/MD5
predictionInterval/DESCRIPTION
predictionInterval/man
predictionInterval/man/pi.d.Rd
predictionInterval/man/pi.m.Rd
predictionInterval/man/predictionInterval-package.Rd
predictionInterval/man/pi.d.demo.Rd
predictionInterval/man/pi.m.demo.Rd
predictionInterval/man/pi.r.Rd
predictionInterval/man/pi.r.demo.Rd
predictionInterval/LICENSE