getV: getV

In MilesOtt/geeNET: geeNET: Weighted GEE for Social Network Data

Description

Takes betas, correlation vector rho, x.matrix, y, adj.matrix, link, W, toep and returns the variance covariance matrix

Usage

getV(betas, rho, x.matrix, y, adj.matrix, missing.vector, link, W, toep)

Arguments

betas	p vector of regression parameters
rho	the vector of estimated correlations between those connected in the network
x.matrix	nxp matrix of covariates
y	the vector of dependent variable
adj.matrix	adjacency matrix of the network
missing.vector	TRUE FALSE vector of missing values
link	link between xbeta and the mean, identify for normal, logit for logistic, Poissonlog for Poisson with log link, Gammalog for gamma with log link
W	vector of inverse probability weights
toep	number of rhos to estimate 1-4 currently are the options for this

Value

estimated Variance Covariance matrix

MilesOtt/geeNET documentation built on Aug. 8, 2021, 7:31 p.m.