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ACCLAB
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DABEST-python
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Cluster-aware bootstrap resampling for repeated measures designs
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#533:
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Cluster-aware bootstrap resampling for repeated measures designs
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Sinaplot
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Fix incomplete jackknife samples for unequal group sizes
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Allow undefined standardized bootstrap draws without aborting estimation
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Compute Cliff's delta ranks without quadratic comparison arrays
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Sample independent paired permutations using the paired statistic
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Align paired observations by subject ID before analysis
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Preserve matched observations when removing paired missing values
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Use sample variances to standardize delta-g effects
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Honor random_seed when running effect-size permutation tests
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Forward statistic arguments throughout single-group summaries
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Use the requested confidence level in single-group BCa intervals
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Fix incomplete jackknife samples for unequal group sizes
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Merge pull request #230 from ACCLAB/bugfix_218
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Merge pull request #230 from ACCLAB/bugfix_218
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Bugfix #218
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Complete the #218 fix and add regression tests
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Bugfix #218
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Attempt to fix pytest failure
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Bug fix for issue #218
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Merge pull request #228 from ACCLAB/patch-citation-updates
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Merge pull request #229 from ACCLAB/vnbdev
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Updating citations and minor fixes to blog posts
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Merge pull request #228 from ACCLAB/patch-citation-updates
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