## 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