NEWS.md

In bbricks: Bayesian Methods and Graphical Model Structures for Statistical Modeling

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

bbricks documentation built on July 8, 2020, 7:29 p.m.