Description Usage Arguments Value
Given the specific inputs, determine auxiliary outcome values using a Gibbs sampling procedure.
1 | auxVarOutcomeCpp(beta, trt, cov, N, R, adjacency, start, weights)
|
beta |
A numeric vector of parameters from outcome model |
trt |
A numeric vector of the treatment values |
cov |
A numeric matrix for observed covariate values (starting values for chain) |
N |
An integer indicating the size of the interconnected network |
R |
An integer indicating the number of iterations for the Gibbs |
adjacency |
A binary matrix indicating connected units |
start |
A vector of the initializing values of |
weights |
A numeric vector indicating the number of neighbors for each node |
A numeric vector for auxiliary covariate outcomes as an element of 0,1
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