calculate_matrix_params

<p>calculate parameter estimates for different types of matrices, i.e. 6a, 6b, etc.</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 

calculate_matrix_params function

calculate parameter estimates for different types of matrices, i.e. 6a, 6b, etc. — calculate_matrix_params

calculate parameter estimates for different types of matrices, i.e. 6a, 6b, etc.

calculate_matrix_params: calculate parameter estimates for different types of matrices, i.e. 6a, 6b, etc.

Description

Usage

Arguments