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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

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.