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 |

**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

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

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