Version 0.6.0
- Added examples to new_BayesMixture() and bayes_mode()
- Fixed typo on the tolerance arguments
- Added details to mode and mixture estimation functions
- Improved the documentation
Version 0.5.1
- Improved robustness of the gibbs sampler when initial classification
is bad
Version 0.5.0
- Restructured the code to make use of S3 generic functions plot() and
summary()
- The package now handles continuous data
- Added a mixtures of normals and skew_normals
- Added galaxy and cyclone data
- Added support for external MCMC output
- Added tests through testthats