auxVarOutcomeCpp.RdGiven the specific inputs, determine auxiliary outcome values using a Gibbs sampling procedure.
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