Changes in version 0.9.0 (2026-02-20)                  

Major Changes

  - Package renamed from rmm to bml (Bayesian Multiple-Membership
    Multilevel Models)

  - New syntax for weight functions: The ar parameter has been moved
    from the fn() specification to the mm() block level for clearer API
    
      - Old: fn(w ~ 1/n, c = TRUE, ar = FALSE)
      - New: fn(w ~ 1/n, c = TRUE) with ar = FALSE at the mm() level

  - Support for multiple mmid groups: The package now supports models
    with multiple membership identifiers, allowing more complex
    membership structures

  - Enhanced documentation: Comprehensive documentation added for the
    coalgov dataset including:
    
      - Detailed variable descriptions organized by level (identifiers,
        government-level, country-level, party-level)
      - Statistical summaries for all variables
      - Clear explanation of multiple-membership structure
      - Updated references and examples

New Features

  - Flexible weight function parameterization: Enhanced support for
    parameterizing weight functions with covariates and group-specific
    structures

  - Per-group random effects: Random effects can now be specified
    separately for different mmid groups

  - Improved JAGS code generation: Optimized model string generation for
    better performance with complex multiple-membership structures

Breaking Changes

  - ar parameter moved: Existing code using fn(w ~ ..., ar = TRUE) must
    be updated to place ar in the mm() block instead

  - Dataset changes:
    
      - Removed schoolnets dataset (including nodedat and edgedat
        objects)
      - Updated coalgov dataset with enhanced documentation and
        additional variables

Bug Fixes

  - Fixed issues with weight function constraints when using multiple
    mm() blocks

  - Improved handling of group-level indices in JAGS variable creation

Documentation

  - Updated vignette examples to use new syntax
  - Added comprehensive FAQ section
  - Improved installation instructions with CRAN and GitHub options
  - Updated references to reflect 2026 publication

                        Changes in version 0.2.0                        

  - Major syntax updates for weight function specification
  - Improved prior specification interface
  - Updated model string generation

                        Changes in version 0.1.1                        

  - Removed posterior predictive p-values and fixed variance at second
    level for Weibull AFT regression

                        Changes in version 0.1.0                        

  - Initial release
  - Added a NEWS.md file to track changes to the package