eigen_exch

<p>Eigenvalues of exchangeable matrices
 if calcall == TRUE, then output eigenvalues with multiplicities
 Outputs eigenvectors when directed==FALSE</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 

eigen_exch function

Eigenvalues of exchangeable matrices
 if calcall == TRUE, then output eigenvalues with multiplicities
 Outputs eigenvectors when directed==FALSE — eigen_exch

Eigenvalues of exchangeable matrices
 if calcall == TRUE, then output eigenvalues with multiplicities
 Outputs eigenvectors when directed==FALSE

eigen_exch: Eigenvalues of exchangeable matrices if calcall == TRUE, then output eigenvalues with multiplicities Outputs eigenvectors when directed==FALSE

Description

Usage

Arguments