DirichletProcessNode: DirichletProcessNode
In sourceR: Fits a Non-Parametric Bayesian Source Attribution Model
Description
Format
Details
Value
Methods
Description
Represents a Dirichlet process as a single node in a DAG.
Format
Object of R6Class with methods for constructing a DAG.
Details
Derived from StochasticNode, please see base class documentation.
Value
Object of DirichletProcessNode
Methods
new(theta, s, alpha, base, ...)Create a DirichletProcessNode with value vector
theta (length > 1), initial grouping vector s, concentration parameter alpha, and
base distribution base. Base should be a distribution function (dnorm, dgamma, etc) whose parameters
are specified in ....
sourceR documentation built on Aug. 31, 2020, 5:06 p.m.
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Description Format Details Value Methods
Description
Represents a Dirichlet process as a single node in a DAG.
Format
Object of R6Class with methods for constructing a DAG.
Details
Derived from StochasticNode, please see base class documentation.
Value
Object of DirichletProcessNode
Methods
new(theta, s, alpha, base, ...)Create a DirichletProcessNode with value vector
theta(length > 1), initial grouping vectors, concentration parameteralpha, and base distributionbase. Base should be a distribution function (dnorm, dgamma, etc) whose parameters are specified in....
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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