The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

bml 0.9.0

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

rmm 0.2.0

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

rmm 0.1.1

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

rmm 0.1.0

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

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.