param_est_single_ilist

<p>Given matrix of time blocks and a particular exchangeable parameter set (within each block),
calculate a single parameter/phi. ASSUMES NO MISSING DATA</p>

internal

Regress network responses (both directed and undirected) onto covariates of interest that may be actor-, relation-, or network-valued. In addition, compute principled variance estimates of the coefficients assuming that the errors are jointly exchangeable. Missing data is accommodated. Additionally implements building and inversion of covariance matrices under joint exchangeability, and  generates random covariance matrices from this class. For more detail on methods, see Marrs, Fosdick, and McCormick (2017) <arXiv:1701.05530>.

Frank W. Marrs 

netregR

Regression of Network Responses

Bailey K. Fosdick 

Tyler H. McCormick 

param_est_single_ilist function

Given matrix of time blocks and a particular exchangeable parameter set (within each block),
calculate a single parameter/phi. ASSUMES NO MISSING DATA — param_est_single_ilist

Given matrix of time blocks and a particular exchangeable parameter set (within each block),
calculate a single parameter/phi. ASSUMES NO MISSING DATA

param_est_single_ilist: Given matrix of time blocks and a particular exchangeable parameter set (within each block), calculate a single parameter/phi. ASSUMES NO MISSING DATA

Description

Usage

Arguments