Version 0.7.2

• Added conditional_nb_modes argument to bayes_mode()
• Improved the gibbs algorithm for the skew normal
• Fixed bug with inside_range
• Added message for users to be aware of potential label-switching to summary and plot_trace functions.
• Minimum version for ggplot2 dependency.

Version 0.7.1

• Range argument not optional any more when plotting mixtures
• More details in summary methods
• Added a df to the mode output showing the mixture density in each draw
• Added message for users to be aware of potential label-switching to summary and plot_trace functions.

Version 0.7.0

• Major changes around the structure of the package
• bayes_estimation() renamed to bayes_fit()
• new_BayesMixture() renamed to bayes_mixture()
• Added a class “mixture” representing estimated mixtures which is used as input to mode estimation functions; see mixture()
• Added mix_mode() which calls the mode finding algorithms; discrete_MF, fixed_point and MEM have been removed
• Added a class “mix_mode”
• Removed the plotting option inside the mode estimation functions
• Added print, plot and summary methods for all classes.

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