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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.

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.