View source: R/generateModel.R
generateModel | R Documentation |
Samples a random Graph and Data
generateModel(v, n, k, d, b, errorDist = "gauss")
v |
number of nodes |
n |
number of samples |
k |
the size of the largest cycle |
d |
the |
sigmaHat |
estimated covariance matrix at convergence |
bHat |
estimated B matrix (edge weights for directed edges) at converegence |
omegaHat |
estimated Omega (edge weights for bi-directed edges) at convergence |
iterations |
number of iterations until convergence. a single iteration is considered a pass through all nodes |
converged |
boolean on whether or not the algorithm converged before the max iterations |
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