jagsDists

A dataset listing the JAGS probability distributions and their parameters

datasets

Facilities for easy implementation of hybrid Bayesian networks
using R. Bayesian networks are directed acyclic graphs representing joint
probability distributions, where each node represents a random variable and
each edge represents conditionality. The full joint distribution is therefore
factorized as a product of conditional densities, where each node is assumed
to be independent of its non-descendents given information on its parent nodes.
Since exact, closed-form algorithms are computationally burdensome for inference
within hybrid networks that contain a combination of continuous and discrete
nodes, particle-based approximation techniques like Markov Chain Monte Carlo
are popular. We provide a user-friendly interface to constructing these networks
and running inference using the 'rjags' package. Econometric analyses (maximum
expected utility under competing policies, value of information) involving
decision and utility nodes are also supported.

Benjamin Nutter

HydeNet

Hybrid Bayesian Networks Using R and JAGS

jagsDists function

A data frame with 30 rows and 7 variables:<dl class="dl-horizontal">
 <dt>DistName</dt><dd>Distribution Name</dd>
 <dt>FnName</dt><dd>JAGS Function Name</dd>
 <dt>FnNameR</dt><dd>R Function Name</dd>
 <dt>xLow</dt><dd>Minimum value for x, the random variable</dd>
 <dt>xHigh</dt><dd>Maximum value for x, the random variable</dd>
 <dt>Parameters</dt><dd>Names of the JAGS parameters</dd>
 <dt>RParameter</dt><dd>R function argument name</dd>
 <dt>paramLimit</dt><dd>Limits on the parameter</dd>
 <dt>paramLogic</dt><dd>The text of a logical check used in <code>setNode</code> to 
 ensure stated parameters are valid.</dd>
 <dt>Rsupport</dt><dd>Logical value, indicating if an R equivalent is 
 supported by <code>HydeNet</code></dd>
</dl>

Format

JAGS Probability Distributions. — jagsDists

A data frame with 30 rows and 7 variables:<dl class='dl-horizontal'>
 <dt>DistName</dt><dd>Distribution Name</dd>
 <dt>FnName</dt><dd>JAGS Function Name</dd>
 <dt>FnNameR</dt><dd>R Function Name</dd>
 <dt>xLow</dt><dd>Minimum value for x, the random variable</dd>
 <dt>xHigh</dt><dd>Maximum value for x, the random variable</dd>
 <dt>Parameters</dt><dd>Names of the JAGS parameters</dd>
 <dt>RParameter</dt><dd>R function argument name</dd>
 <dt>paramLimit</dt><dd>Limits on the parameter</dd>
 <dt>paramLogic</dt><dd>The text of a logical check used in <code>setNode</code> to 
 ensure stated parameters are valid.</dd>
 <dt>Rsupport</dt><dd>Logical value, indicating if an R equivalent is 
 supported by <code>HydeNet</code></dd>
</dl>

jagsDists: JAGS Probability Distributions.

Description

Usage

Arguments

Format