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riemstats 0.2.0

Major Changes

Permutation Test Implementation

Benefits of permutation test approach: - Faster computation (no synthetic data generation required) - More stable p-values (no parameter estimation variability) - Exact test under null hypothesis (when group labels are exchangeable) - Simpler implementation (direct shuffling of observations)

Motivation: - Asymptotic tests showed inflation issues - Bootstrap was computationally expensive and under-conservative - Permutation test is more natural for comparing sub-populations

See GitHub issue #61 and PR #62 for detailed discussion and implementation.

Documentation

Testing

Note on Validation

This release is pending comprehensive validation through simulation studies (EXP-MP-062). Initial testing shows correct behavior, but full Type I error and power analysis is ongoing.

riemstats 0.1.0

Dependencies

Miscellaneous

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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