IsingEntrophy

Returns (marginal/conditional) Shannon information of the Ising model.

Sample states from the Ising model and compute the probability of states. Sampling can be done for any number of nodes, but due to the intractibility of the Ising model the distribution can only be computed up to ~10 nodes.

Sacha Epskamp

IsingSampler

Sampling Methods and Distribution Functions for the Ising Model

Jesse Boot

IsingEntrophy function

<dl> <dt>graph</dt>
<dd>Weights matrix</dd> <dt>thresholds</dt>
<dd>Thresholds vector</dd> <dt>beta</dt>
<dd>Inverse temperature</dd> <dt>conditional</dt>
<dd>Indices of nodes to condition on</dd> <dt>marginalize</dt>
<dd>Indices of nodes to marginalize over</dd> <dt>base</dt>
<dd>Base of the logarithm</dd> <dt>responses</dt>
<dd>Vector of outcome responses.</dd></dl>

Arguments

Sacha Epskamp &lt;mail@sachaepskamp.com&gt;

Author

Entropy of the Ising Model — IsingEntrophy

<dl>

 <dt>graph</dt>
<dd>Weights matrix</dd>

 <dt>thresholds</dt>
<dd>Thresholds vector</dd>

 <dt>beta</dt>
<dd>Inverse temperature</dd>

 <dt>conditional</dt>
<dd>Indices of nodes to condition on</dd>

 <dt>marginalize</dt>
<dd>Indices of nodes to marginalize over</dd>

 <dt>base</dt>
<dd>Base of the logarithm</dd>

 <dt>responses</dt>
<dd>Vector of outcome responses.</dd>

</dl>

IsingEntrophy: Entropy of the Ising Model

Description

Usage

Arguments

Author