isinghm: Metropolis-Hastings for the Ising model
In bayess: Bayesian Essentials with R
isinghm R Documentation
Metropolis-Hastings for the Ising model
Description
This is the Metropolis-Hastings version of the original Gibbs algorithm
on the Ising model (Chapter 8). Its basic step only proposes changes of values at selected
pixels, avoiding the inefficient updates that do not modify the current value
of x.
Usage
isinghm(niter, n, m=n,beta)
Arguments
niter
number of iterations of the algorithm
n
number of rows in the grid
m
number of columns in the grid
beta
Ising parameter
Value
x, a realisation from the Ising distribution as a n x m matrix
of 0's and 1's
See Also
isingibbs
Examples
prepa=runif(1,0,2)
prop=isinghm(10,24,24,prepa)
image(1:24,1:24,prop)
bayess documentation built on May 29, 2024, 3:58 a.m.
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| isinghm | R Documentation |
Metropolis-Hastings for the Ising model
Description
This is the Metropolis-Hastings version of the original Gibbs algorithm
on the Ising model (Chapter 8). Its basic step only proposes changes of values at selected
pixels, avoiding the inefficient updates that do not modify the current value
of x.
Usage
isinghm(niter, n, m=n,beta)
Arguments
niter |
number of iterations of the algorithm |
n |
number of rows in the grid |
m |
number of columns in the grid |
beta |
Ising parameter |
Value
x, a realisation from the Ising distribution as a n x m matrix
of 0's and 1's
See Also
isingibbs
Examples
prepa=runif(1,0,2)
prop=isinghm(10,24,24,prepa)
image(1:24,1:24,prop)
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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