Changes in version 1.0.0                        

  - Companion release to the Journal of Statistical Software
    publication: Baştürk et al. (2026), "BayesMultiMode: Bayesian Mode
    Inference in R", JSS 116(3), doi:10.18637/jss.v116.i03.
  - Added inst/CITATION pointing to the JSS article.
  - Added the JSS reference to the DESCRIPTION and to the bayes_fit()
    and bayes_mode() documentation.

                 Changes in version 0.7.5 (2026-02-27)                  

  - Fixed issue with cross-platform reproducibility.

                 Changes in version 0.7.4 (2025-09-27)                  

  - Updated following following ggplot new version.

                 Changes in version 0.7.2 (2024-10-25)                  

  - 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.

                 Changes in version 0.7.1 (2024-03-21)                  

  - 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.

                 Changes in version 0.7.0 (2024-02-05)                  

  - 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.

                 Changes in version 0.6.0 (2023-08-08)                  

  - 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

                 Changes in version 0.5.1 (2023-04-06)                  

  - Improved robustness of the gibbs sampler when initial classification
    is bad

                        Changes in 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