Node

This is a base class representing a node in a DAG. Is not intended to be used by a regular user. Developers only here!

node

Implements a non-parametric source attribution model to attribute
cases of disease to sources in Bayesian framework with source and type effects.
Type effects are clustered using a Dirichlet Process. Multiple times and
locations are supported.

Poppy Miller

sourceR

Fits a Non-Parametric Bayesian Source Attribution Model

Chris Jewell

Jonathan Marshall

Nigel French

Node function

Object of <code><a rd-options="" href="/link/R6Class?package=sourceR&version=1.1.0" data-mini-rdoc="sourceR::R6Class">R6Class</a></code> with methods for constructing a DAG.

Format

<dl class="dl-horizontal">
<dt><code>parents</code></dt><dd>a list of parent nodes</dd></dl><dt><code>children</code></dt><dd>a list of child nodes</dd><dt><code>name</code></dt><dd>a tag name applied to the node</dd>

Fields

<dl class="dl-horizontal">
 <dt><code>new(parents = list(), children = list(), name)</code></dt><dd>creates a new <a rd-options="" href="/link/Node?package=sourceR&version=1.1.0" data-mini-rdoc="sourceR::Node">Node</a> with parent nodes, child nodes, and a name.</dd>
 <dt><code>logDensity()</code></dt><dd>calculate the log probability density/mass function evaluated at the current node value.</dd>
 <dt><code>addChild(node)</code></dt><dd>add <code>node</code> as a child. Returns <code>node</code>.</dd>
 <dt><code>addParent(node)</code></dt><dd>add <code>node</code> as a parent. Returns <code>node</code>.</dd>
 <dt><code>removeParent(name)</code></dt><dd>remove the parent node named <code>name</code>. Returns <code>node</code>.</dd>
 <dt><code>removeChild(name)</code></dt><dd>remove the child node named <code>name</code>. Returns <code>node</code>.</dd>
 </dl>

Methods

Node — Node

Object of <code><a rd-options='' href='R6Class'>R6Class</a></code> with methods for constructing a DAG.

Node: Node

Description

Arguments

Value

Format

Fields

Methods