cmrdesign 0.1.0

First CRAN-oriented release of cmrdesign.

• Added applied Conditional Minimax Regret rules for two-arm, unbounded two-arm, shared-control multi-arm, stratified, multiple-outcome, and proxy outcome designs.
• Added pilot/main-wave sample-size planning tools from Appendix E of the accompanying paper.
• Added R/Python cross-language fixtures, reference validation, vignettes, and compact print/summary methods for core CMR results.
• Added realize_allocation() to turn CMR target shares into integer main-wave counts and recompute the rounded-design certificate when possible.
• Added allocation cross-language fixtures and vignette/examples coverage for integer count realization.
• Hardened realize_allocation() input validation for named length-one targets, fixed stratum counts, zero-count realized arms, and certificate recomputation diagnostics.
• Maurer–Pontil bounded-outcome fits now report the raw Bessel sample variance in vhat and keep projected unit-interval variances in the method-specific statistic$projected_vhat field.
• Added explicit warnings when normalize = TRUE uses pilot min/max support bounds, clarifying that this convenience path is exploratory rather than finite-sample guarantee-bearing.