log_like_forces {VBLPCM} | R Documentation |
create an initial configuration for the latent positions.
Description
This performs an iterative relaxation type algorithm to approximately find the positions of the nodes in the latent space that maximises the log-likelihood.
Usage
log_like_forces(net, D, X, B, m ,steps)
Arguments
net |
network object on which to perform layout. |
D |
dimension of the latent space. |
X |
the initial guess for X |
B |
the intercept term. |
m |
usually N will suffice. |
steps |
maximum number of iteration steps. |
Details
Usually only used internally in vblpcmstart()
Value
Matrix of latent positions X
Author(s)
Michael Salter-Townshend
See Also
igraph::layout.fruchterman.reingold
Examples
data(sampson)
N=network.size(samplike)
X=matrix(runif(N*2,-2,2),ncol=2)
XX=vblpcmcovs(N,"plain",as.sociomatrix(samplike))
out<-log_like_forces(samplike, 2, X, 0, m=N, 1e3)
plot(samplike,coord=out$X)
[Package VBLPCM version 2.4.9 Index]