dirichletprocess 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.

dirichletprocess 0.4.0

• 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.

dirichletprocess 0.3.1

• 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.

dirichletprocess 0.3.0

• 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.

dirichletprocess 0.2.2

• 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.

dirichletprocess 0.2.1

• 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.

dirichletprocess 0.2.0

• First public release.
• Added a NEWS.md file to track changes to the package.