networkGibbsOuts2Cpp.RdGiven the specific inputs, determine estimates of psi for the given units under some treatment regime and individual treatment value using a Gibbs sampling procedure.
networkGibbsOuts2Cpp(cov_list, beta, p, ncov, R, N, adjacency, weights, subset, treatment_value, burnin, average)
| cov_list | The output from networkGibbsOutCovCpp function |
|---|---|
| beta | A numeric vector for the parameters from the outcome model |
| p | A probability of treated units for the binomial treatment assignment draw |
| ncov | A numeric vector for the parameters from the outcome model |
| R | An integer indicating the number of iterations for the Gibbs |
| N | An integer indicating the size of the interconnected network |
| adjacency | A binary matrix indicating connected units |
| weights | A numeric vector indicating the number of neighbors for each node |
| subset | The indices of the individuals, as they appear in the adjacency matrix, to be included in the network causal effects estimates. |
| treatment_value | The intervened value of an individual's treatment assignment for each person in subset |
| burnin | The index to start evaluation as one would normally have for a burnin for a Bayesian computation. |
| average | An indicator of whether to evaluate the causal effects as an average of the R iterations |
A vector of length N containing the estimated value of psi for each person