sumising {bayess} | R Documentation |
Approximation by path sampling of the normalising constant for the Ising model
Description
This function implements a path sampling approximation of the normalising constant of an Ising model with a four neighbour relation.
Usage
sumising(niter = 10^3, numb, beta)
Arguments
niter |
number of iterations |
numb |
size of the square grid for the Ising model |
beta |
Ising model parameter |
Value
returns a vector of 21 values for Z(\beta)
corresponding to a regular sequence
of \beta
's between 0 and 2
See Also
Examples
Z=seq(0,2,length=21)
for (i in 1:21)
Z[i]=sumising(5,numb=24,beta=Z[i])
lrcst=approxfun(seq(0,2,length=21),Z)
plot(seq(0,2,length=21),Z,xlab="",ylab="")
curve(lrcst,0,2,add=TRUE)
[Package bayess version 1.6 Index]