dirichletprocess0.4.2 package

Create a Hierarchical Dirichlet Mixture of Beta Distributions

Create a Hierarchical Dirichlet Mixture of semi-conjugate Multivariate...

Create a Dirichlet mixture of multivariate normal distributions.

Create a Dirichlet mixture of multivariate normal distributions with s...

Dirichlet process mixture of the Beta distribution.

Dirichlet process mixture of Beta distributions with a Uniform Pareto ...

Create a Dirichlet Process object

Create a Dirichlet Mixture of Exponentials

Create a Dirichlet Mixture of Gaussians

Create a Dirichlet Mixture of the Gaussian Distribution with fixed var...

Create a Beta mixture with zeros at the boundaries.

Create a Beta mixing distribution.

Add burn-in to a dirichletprocess object

Change the observations of fitted Dirichlet Process.

Update the component of the Dirichlet process

Predict the cluster labels of some new data.

Update the cluster parameters of the Dirichlet process.

Diagnostic plots for dirichletprocess objects

Create a generic Dirichlet process hidden Markov Model

A flexible package for fitting Bayesian non-parametric models.

Create a Dirichlet Mixture of the Weibull distribution

Create a Exponential mixing distribution

Fit a Hidden Markov Dirichlet Process Model

Fit the Dirichlet process object

Create a Gaussian Mixing Distribution with fixed variance.

Create a Normal mixing distribution

Update the parameters of the hierarchical Dirichlet process object.

Create a Mixing Object for a hierarchical Beta Dirichlet process objec...

Create a Mixing Object for a hierarchical semi-conjugate Multivariate ...

Initialise a Dirichlet process object

Mixing Distribution Likelihood

The likelihood of the Dirichlet process object

The Likelihood function of a Dirichlet process object.

Create a mixing distribution object

Create a multivariate normal mixing distribution with semi conjugate p...

Create a multivariate normal mixing distribution

Calculate the parameters that maximise the penalised likelihood.

Plot the Dirichlet process object

Generate the posterior clusters of a Dirichlet Process

Draw from the posterior distribution

Calculate the posterior mean and quantiles from a Dirichlet process ob...

Generate the posterior function of the Dirichlet function

Calculate the posterior parameters for a conjugate prior.

Calculate how well the prior predicts the data.

Print the Dirichlet process object

Draw prior clusters and weights from the Dirichlet process

Calculate the prior density of a mixing distribution

Draw from the prior distribution

Generate the prior function of the Dirichlet process

Update the prior parameters of a mixing distribution

The Stick Breaking representation of the Dirichlet process.

Identifies the correct clusters labels, in any dimension, when cluster...

Update the Dirichlet process concentration parameter.

Update the $\alpha$ and $\beta$ parameter of a hidden Markov Dirichlet...

Create a Weibull mixing distribution.

Generate a weighted function.