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| BasicBayesian | Create objects of type '"BasicBayesian"'. |
| cancerData | Cancer mortality of 20 cities |
| CatDirichlet | Create objects of type "CatDirichlet". |
| CatDP | Create objects of type "CatDP". |
| CatHDP | Create objects of type "CatHDP". |
| CatHDP2 | Create objects of type "CatHDP2". |
| dCategorical | Probability mass function for Categorical distribution |
| dDir | Density function for Dirichelt distribution |
| dGaussian | Density function of Gaussian distribution |
| DP | Create objects of type "DP". |
| dPosteriorPredictive | Get the density value of the posterior predictive distribution |
| dPosteriorPredictive.CatDirichlet | Posterior predictive density function of a "CatDirichlet" object |
| dPosteriorPredictive.CatDP | Posterior predictive density function of a "CatDP" object |
| dPosteriorPredictive.CatHDP | Posterior predictive density function of a "CatHDP" object |
| dPosteriorPredictive.CatHDP2 | Posterior predictive density function of a "CatHDP" object |
| dPosteriorPredictive.DP | Posterior predictive density function of a Dirichlet Process object |
| dPosteriorPredictive.GaussianNIG | Posterior predictive density function of a "GaussianNIG" object |
| dPosteriorPredictive.GaussianNIW | Posterior predictive density function of a "GaussianNIW" object |
| dPosteriorPredictive.HDP | Posterior predictive density function of a "HDP" object |
| dPosteriorPredictive.HDP2 | Posterior predictive density function of a "HDP2" object |
| dT | Density function for (multivariate) t distribution |
| farmadsData | farm ads data |
| GaussianNIG | Create objects of type "GaussianNIG". |
| GaussianNIW | Create objects of type "GaussianNIW". |
| HDP | Create objects of type "HDP". |
| HDP2 | Create objects of type "HDP2". |
| inferenceJointGaussian | Inference in joint Gaussian distribution |
| linearGaussian | Linear Gaussian systems |
| logsumexp | log sum exp |
| lrData | Samples from a simple linear model |
| MAP | Get the Maximum A Posteriori(MAP) estimate of a "BayesianBrick" object |
| MAP.CatDirichlet | MAP estimate of a "CatDirichlet" object |
| MAP.CatDP | Maximum A Posteriori(MAP) estimate of a "CatDP" object |
| MAP.GaussianNIG | MAP estimate of a "GaussianNIG" object |
| MAP.GaussianNIW | Maximum A Posteriori(MAP) estimate of a "GaussianNIW" object |
| marginalLikelihood | Get the marginal likelihood of a "BayesianBrick" object |
| marginalLikelihood.CatDirichlet | Marginal likelihood of a "CatDirichlet" object |
| marginalLikelihood.CatDP | Marginal likelihood of a "CatDP" object |
| marginalLikelihood.DP | Marginallikelihood for Dirichlet Process(DP) |
| marginalLikelihood.GaussianNIG | Marginal likelihood of a "GaussianNIG" object |
| marginalLikelihood.GaussianNIW | Marginal likelihood of a "GaussianNIW" object |
| marginalLikelihood.HDP | Marginallikelihood for HDP |
| marginalLikelihood.HDP2 | Marginallikelihood for HDP2 |
| marginalLikelihood_bySufficientStatistics | Get the marginal likelihood of a "BayesianBrick" object |
| marginalLikelihood_bySufficientStatistics.CatDirichlet | Marginal likelihood of a "CatDirichlet" object, usnig sufficient statistics |
| marginalLikelihood_bySufficientStatistics.CatDP | Marginal likelihood of a "CatDP" object, usnig sufficient statistics |
| marginalLikelihood_bySufficientStatistics.GaussianNIG | Marginal likelihood of a "GaussianNIG" object, usnig sufficient statistics |
| marginalLikelihood_bySufficientStatistics.GaussianNIW | Marginal likelihood of a "GaussianNIW" object, usnig sufficient statistics |
| MetropolisHastings | Metropolis-Hastings sampler |
| mmData | Samples from a mixture model |
| mmhData | Samples from a hierarchical mixture model |
| mmhhData | Samples from a hierarchical mixture model with two layers of hierarchies |
| MPE | Get the Mean Posterior Estimate(MPE) of a "BayesianBrick" object |
| MPE.CatDirichlet | MPE of a "CatDirichlet" object |
| MPE.CatDP | Mean Posterior Estimate(MPE) of a "CatDP" object |
| MPE.GaussianNIG | MPE estimate of a "GaussianNIG" object |
| MPE.GaussianNIW | Mean Posterior Estimate(MPE) of a "GaussianNIW" object |
| pdsInverse | Inverse of a positive definite symmetric matrix |
| posterior | update the prior distribution with sufficient statistics |
| posterior.CatDirichlet | Update a "CatDirichlet" object with sample sufficient statistics |
| posterior.CatDP | Update a "CatDP" object with sample sufficient statistics |
| posterior.CatHDP | Update a "CatHDP" object with sample sufficient statistics |
| posterior.CatHDP2 | Update a "CatHDP2" object with sample sufficient statistics |
| posterior.DP | Update a "DP" object with sample sufficient statistics |
| posterior.GaussianNIG | Update a "GaussianNIG" object with sample sufficient statistics |
| posterior.GaussianNIW | Update a "GaussianNIW" object with sample sufficient statistics |
| posterior.HDP | Update a "HDP" object with sample sufficient statistics |
| posterior.HDP2 | Update a "HDP2" object with sample sufficient statistics |
| posteriorDiscard | update the prior distribution with sufficient statistics |
| posteriorDiscard.CatDirichlet | Update a "CatDirichlet" object with sample sufficient statistics |
| posteriorDiscard.CatDP | Update a "CatDP" object with sample sufficient statistics |
| posteriorDiscard.CatHDP | Update a "CatHDP" object with sample sufficient statistics |
| posteriorDiscard.CatHDP2 | Update a "CatHDP2" object with sample sufficient statistics |
| posteriorDiscard.DP | Update a "DP" object with sample sufficient statistics |
| posteriorDiscard.GaussianNIG | Update a "GaussianNIG" object with sample sufficient statistics |
| posteriorDiscard.GaussianNIW | Update a "GaussianNIW" object with sample sufficient statistics |
| posteriorDiscard.HDP | Update a "HDP" object with sample sufficient statistics |
| posteriorDiscard.HDP2 | Update a "HDP2" object with sample sufficient statistics |
| posteriorDiscard_bySufficientStatistics | update the prior distribution with sufficient statistics |
| posteriorDiscard_bySufficientStatistics.CatDirichlet | Update the prior Dirichlet distribution with sample sufficient statistics |
| posteriorDiscard_bySufficientStatistics.CatDP | Update a "CatDP" object with sample sufficient statistics |
| posterior_bySufficientStatistics | update the prior distribution with sufficient statistics |
| posterior_bySufficientStatistics.CatDirichlet | Update a "CatDirichlet" object with sample sufficient statistics |
| posterior_bySufficientStatistics.CatDP | Update a "CatDP" object with sample sufficient statistics |
| print.BasicBayesian | Print the content of an BasicBasyesian object |
| print.CatHDP | Print the content of an CatHDP object |
| print.CatHDP2 | Print the content of an CatHDP2 object |
| print.DP | print the content of a "DP" object |
| print.HDP | print the content of a "HDP" object |
| print.HDP2 | print the content of a "HDP2" object |
| rCategorical | Random generation for Categorical distribution |
| rDir | Random generation for Dirichelt distribution |
| release_questions | additional release questions |
| rGaussian | Random generation for Gaussian distribution |
| rPosteriorPredictive | Generate random samples from the posterior predictive distribution |
| rPosteriorPredictive.CatDirichlet | Posterior predictive random generation of a "CatDirichlet" object |
| rPosteriorPredictive.CatDP | Posterior predictive random generation of a "CatDP" object |
| rPosteriorPredictive.CatHDP | Posterior predictive random generation of a "CatHDP" object |
| rPosteriorPredictive.CatHDP2 | Posterior predictive random generation of a "CatHDP2" object |
| rPosteriorPredictive.DP | Posterior predictive random generation of a "DP" object |
| rPosteriorPredictive.GaussianNIG | Posterior predictive random generation of a "GaussianNIG" object |
| rPosteriorPredictive.GaussianNIW | Posterior predictive random generation of a "GaussianNIW" object |
| rPosteriorPredictive.HDP | Posterior predictive random generation of a "HDP" object |
| rPosteriorPredictive.HDP2 | Posterior predictive random generation of a "HDP2" object |
| rT | Random Generation for (multivariate) t distribution |
| sufficientStatistics | Get sample sufficient statistics |
| sufficientStatistics.CatDirichlet | Sufficient statistics of a "CatDirichlet" object |
| sufficientStatistics.CatDP | Sufficient statistics of a "CatDP" object |
| sufficientStatistics.DP | Sufficient statistics of a "DP" object |
| sufficientStatistics.GaussianNIG | Sufficient statistics of a "GaussianNIG" object |
| sufficientStatistics.GaussianNIW | Sufficient statistics of a "GaussianNIW" object |
| sufficientStatistics.HDP | Sufficient statistics of a "HDP" object |
| sufficientStatistics.HDP2 | Sufficient statistics of a "HDP2" object |
| sufficientStatistics_Weighted | Get weighted sample sufficient statistics |
| sufficientStatistics_Weighted.CatDirichlet | Weighted sufficient statistics of a "CatDirichlet" object |
| sufficientStatistics_Weighted.CatDP | Weighted sufficient statistics of a "CatDP" object |
| sufficientStatistics_Weighted.DP | Weighted sufficient statistics of a "DP" object |
| sufficientStatistics_Weighted.GaussianNIG | Weighted sufficient statistics of a "GaussianNIG" object |
| sufficientStatistics_Weighted.GaussianNIW | Weighted sufficient statistics for a "GaussianNIW" object |
| sufficientStatistics_Weighted.HDP | Weighted sufficient statistics of a "HDP" object |
| sufficientStatistics_Weighted.HDP2 | Weighted sufficient statistics of a "HDP2" object |
| %plus% | a plus b with NA values |
| .is | a internal version of "is", only for this package |