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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.