generateModel: Generate Data from Structural Equation Model

In ysamwang/BCD: Linear Structural Equations with Gaussian Errors

Generate Data from Structural Equation Model

Description

Samples a random Graph and Data

Usage

generateModel(v, n, k, d, b, errorDist = "gauss")

Arguments

v	number of nodes
n	number of samples
k	the size of the largest cycle
d	the

Value

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

ysamwang/BCD documentation built on Sept. 3, 2023, 1:33 a.m.