auxVarOutcomeCpp: Run Gibbs sampler for auxiliary outcome values using Rcpp

In isabelfulcher/autognet: Estimation of causal network effects

Description

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

Usage

auxVarOutcomeCpp(beta, trt, cov, N, R, adjacency, start, weights)

Arguments

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

Value

A numeric vector for auxiliary covariate outcomes as an element of 0,1

isabelfulcher/autognet documentation built on Aug. 23, 2020, 9:42 a.m.