Description Usage Arguments Value
Given the specific inputs, determine auxiliary covariate values using a Gibbs sampling procedure.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 |
tau |
A numeric vector for the intercept terms in the covariate model |
rho |
A numeric vector for the correlation terms in the covariate model |
nu |
A numberic matrix for the neighbor terms in the covariate model |
N |
An integer indicating the size of the interconnected network |
R |
An integer indicating the number of iterations for the Gibbs |
J |
An integer for the number of covariates |
rho_mat |
A numeric matrix for rho terms |
adjacency |
A binary matrix indicating connected units |
cov_i |
A numeric matrix for observed covariate values (starting values for chain) |
weights |
A numeric vector indicating the number of neighbors for each node |
group_lengths |
An integer vector indicating the number of categories for each variable |
group_functions |
An integer vector indicating the type of variable |
additional_nu |
An integer (0/1) specifying whether neighbor cross terms will be evaluated (i.e. non zero) |
A numeric matrix for auxiliary covariate values between [0,1]
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