isingibbs

This is the original Geman and Geman (1984) Gibbs sampler
on the Ising model that gave its name to the method. It simulates
an \(n\times m\) grid from the Ising distribution.

Gibbs sampling

Ising model

Allows the reenactment of the R programs used in
the book Bayesian Essentials with R without further programming.
R code being available as well, they can be modified by the user
to conduct one's own simulations.
Marin J.-M. and Robert C. P. (2014) <doi:10.1007/978-1-4614-8687-9>.

JeanMichel Marin

bayess

Bayesian Essentials with R

isingibbs function

<dl> <dt>niter</dt>
<dd>number of iterations of the algorithm</dd> <dt>n</dt>
<dd>number of rows in the grid</dd> <dt>m</dt>
<dd>number of columns in the grid</dd> <dt>beta</dt>
<dd>Ising parameter</dd></dl>

Arguments

Gibbs sampler for the Ising model — isingibbs

<dl>

 <dt>niter</dt>
<dd>number of iterations of the algorithm</dd>

 <dt>n</dt>
<dd>number of rows in the grid</dd>

 <dt>m</dt>
<dd>number of columns in the grid</dd>

 <dt>beta</dt>
<dd>Ising parameter</dd>

</dl>

isingibbs: Gibbs sampler for the Ising model

Description

Usage

Value

Arguments

References

See Also

Examples