riemstats 0.2.0

Major Changes

Permutation Test Implementation

• BREAKING CHANGE: Replaced parametric bootstrap with permutation test in riem_anova()
  • Function parameter renamed: den → nperm (default changed from 5 to 1000)
  • Old function one_bootstrap() removed and replaced with one_permutation()
  • Users must update existing code to use the new parameter name

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

• Updated riem_anova() documentation with permutation test description
• Added one_permutation() function documentation
• Updated vignette with working permutation test examples
• Reduced vignette permutation count to 100 for faster builds

Testing

• Updated test suite for permutation approach
• All 126 tests passing
• Fixed CSample constructor issues in tests

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

• Depends on R (>= 4.3.0)
• Imports the following packages:
  • Matrix
  • methods
  • expm
  • R6
  • purrr
  • MASS
  • furrr
• Suggests the following packages for testing and documentation:
  • testthat (>= 3.0.0)
  • knitr
  • rmarkdown

Miscellaneous

• Added a LICENSE file with the MIT license.
• Maintainer: Nicolas Escobar nescoba@iu.edu