Changes in version 0.4.0.9000 - Added PriorFunction and PriorClusters to draw from the base measure. - Fixed a bug in the likelihood calculation (#21) by Filippo Fiocchi. - Added hierarchical print statement method. Changes in version 0.4.0 (2020-06-13) - Hierarchical Normal Models added by Giovanni Sighinolfi - Added Giovanni Sighinolfi as a contributor. - Added params chain to Hidden Markov Models - Updated the vignette for hierarchical normal models. Changes in version 0.3.1 (2019-12-11) - Fixed matrix class checking for R 4.0.0 - Corrected typos in vignette - Added a parameter for the number of initial clusters in DirichletProcessMvnormal. - Various refactoring. Changes in version 0.3.0 (2019-05-03) - Added Hidden Markov models. - Fixed bug in PosteriorClusters and PosteriorFunction. - Added in new Beta mixture model for avoiding boundary. - Fixed a bug in ChangeObservations when using more than one dimension. - Added in Burn, Print and Diagnostic Plots. Changes in version 0.2.2 (2018-11-23) - Added a likelihood variable for the dirichletprocess class that is calculate with each fit iteration. - Added option to change how many Metropolis-Hasting steps are used in each iteration. - Added a likelihood calculation with each iteration. - Added and refactored some tests. - Updated vignette. - Additional options to univariate plotting. - Added Kees Mulder as a contributor. Changes in version 0.2.1 (2018-04-18) - Added AppVeyor, Travis-CI and codecov.io badges. - Added penalised log-likelihood step for posterior cluster parameter inference. - Added exponential mixture model DirichletProcessExponential. - Updated plot. Multivariate Gaussian models can now be plotted. - Various bug fixes. - Updated description. Changes in version 0.2.0 (2018-01-29) - First public release. - Added a NEWS.md file to track changes to the package.