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riem_anova()
den → nperm
(default changed from 5 to 1000)one_bootstrap() removed and replaced with
one_permutation()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.
riem_anova() documentation with permutation
test descriptionone_permutation() function documentationThis 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.
LICENSE file with the MIT license.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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