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birdie 0.6.1
- Switch to an inverse-gamma prior for the random effects scale
parameter in the mixed model.
- Add Jacobian adjustment to mixed model M step to improve accuracy
and reduce prior sensitivity.
birdie 0.5.0
- Gibbs sampler for Categorical-Dirichlet and Normal linear
models
simulate.bisg()
to perform multiple imputation from
BISG probabilities
birdie 0.4.0
- Support for continuous outcomes
- Support for observation/likelihood weights
- New method for specifying outcome model type
- New default empirical Bayes prior for Categorical-Dirichlet
model
birdie 0.3.0
- New interfaces and implementations for BISG
- New computational backend and interface for BIRDiE models
- Updated documentation and examples
- Unit tests for accuracy and usability
birdie 0.1.0
- Basic BISG functionality and initial model support
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.