probability_bm: Boltzmann probabilities for all states
In BenjiUvA/Learning_Ising_Model: LIMA data simulation
Description
Calculates Boltzmann probabilities for all states
Usage
1
probability_bm(omega, tau, n, beta = 1, bm)
Arguments
omega
is a (symmetrical) matrix with the strength of connection between each nodes. Set the the diagonal to zero.
tau
is a vector with a threshold for each node
n
is the number of nodes in the network
beta
is the dependency parameter
bm
is a matrix with all possible configurations. This can be created with: bm <- as.matrix(expand.grid(rep(list(0:1),n))); bm[bm==0] <- -1
BenjiUvA/Learning_Ising_Model documentation built on June 8, 2019, 3:44 a.m.
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Description
Calculates Boltzmann probabilities for all states
Usage
1 | probability_bm(omega, tau, n, beta = 1, bm)
|
Arguments
omega |
is a (symmetrical) matrix with the strength of connection between each nodes. Set the the diagonal to zero. |
tau |
is a vector with a threshold for each node |
n |
is the number of nodes in the network |
beta |
is the dependency parameter |
bm |
is a matrix with all possible configurations. This can be created with: bm <- as.matrix(expand.grid(rep(list(0:1),n))); bm[bm==0] <- -1 |
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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