quasi.score: quasi.score

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

Description

Fits GEE and returns betas and rho vector

Usage

quasi.score(to.optim, adj.matrix, x.matrix, missing.vector, link, y, W, toep)

Arguments

to.optim	a p+1 vector with initial values for betas and rho
adj.matrix	adjacency matrix of the network
x.matrix	nxp matrix of covariates
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
y	the vector of dependent variable
W	vector of inverse probability weights
toep	number of rhos to estimate 1-4 currently are the options for this

Value

betas and rho as a vector

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