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  "Title": "Prediction Interval Functions for Assessing Replication Study\nResults",
  "Description": "A common problem faced by journal reviewers and authors is\nthe question of whether the results of a replication study are\nconsistent with the original published study. One solution to\nthis problem is to examine the effect size from the original\nstudy and generate the range of effect sizes that could\nreasonably be obtained (due to random sampling) in a\nreplication attempt (i.e., calculate a prediction interval).\nThis package has functions that calculate the prediction\ninterval for the correlation (i.e., r), standardized mean\ndifference (i.e., d-value), and mean.",
  "Author": "David Stanley",
  "Maintainer": "David Stanley <dstanley@uoguelph.ca>",
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  "License": "MIT License + file LICENSE",
  "RoxygenNote": "5.0.1",
  "Date": "2016-08-19",
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  "Date/Publication": "2016-08-30 17:45:33 UTC",
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