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bbricks 0.1.5 (2021-01-16)

Bug fixes

  • Fixed bug: bbricks::pdsInverse returns wrong value when the input is not a matrix.

bbricks 0.1.4 (2020-05-07)

New features

Add method dAllIndicators to all DP family distributions. dAllIndicators will return the probabilities of all the possible values of the hidden indicator variables.

Bug fixes

  • Fixed bug: DP, HDP and HDP2 objects don't initialize observation distribution when created.
  • Fixed bug: rPosteriorPredictive.HDP and rPosteriorPredictive.HDP2 return samples with unexpected name such as "z.z".
  • Fixed bug: fix the error Error in obj$Z$Z2[[j]] : subscript out of bounds when rPosteriorPredictive.HDP try to draw samples from an unrecorded group.

Improvements

  • Fix graphical model representation error in package vignette.
  • Fix wrong conditional probability distributions in DP related documentations.
  • Add HMM and HDP-HMM (iHMM) examples to the vignette

bbricks 0.1.3 (2020-04-26)

Enhance documentations.

Improvements

  • fix some display errors in function documentations.
  • add example "hierarchical Bayesian linear regression" to the package vignette.

bbricks 0.1.2 (2020-04-14)

Add features and enhance documentations. Fix minor bugs.

New features

New Model Structures:

  • Linear Gaussian system.
  • Gaussian and Gaussian conjugate structure.
  • Gaussian and Inverse-Wishart conjugate structure.

New Inference Tasks:

  • Sample from the posterior distribution.
  • Calculate density values from the posterior distribution.

New Distributions:

  • Inverse Gamma distribution.
  • Wishart and Inverse-Wishart distributions.

Bug fixes

Fixed bug: rGaussian returns "non-conformable arrays" error when sample mean "mu" is a 1 column matrix.

Improvements

Reformat all the function documentations, now they are more readable.

bbricks 0.1.1 (2020-03-07)

Fix bug.

Bug fixes

Fixed bug: posterior.CatHDP, posteriorDiscard.CatHDP, posterior.CatHDP2,posteriorDiscard.CatHDP2 update posterior improperly when sample weight "w" is not NULL.

bbricks 0.1.0 (2020-02-28)

This is the first release of bbricks.

New features

New Model Structures:

  • Gaussian and NIW conjugate.
  • Gaussian and NIG conjugate.
  • Categorical and Dirichlet conjugate.
  • Categorical and Dirichlet process.
  • Categorical and
  • Dirichlet process.
  • Hierarchical Dirichlet process.
  • Hierarchical Dirichlet process with two layers of hierarchies.

New Inference Tasks:

  • Update posterior info.
  • Calculate sample sufficient statistics.
  • Calculate MAP estimate.
  • Calculate marginal likelihood.
  • Calculate posterior predictive density.
  • Sample from posterior predictive distribution.

Improvements

None

Bug fixes

None