eigen_exch_time

<p>Compute eigenvalues of covariance matrices of jointly exchangeable errors with repeated observations</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_time function

Compute eigenvalues of covariance matrices of jointly exchangeable errors with repeated observations — eigen_exch_time

Compute eigenvalues of covariance matrices of jointly exchangeable errors with repeated observations

eigen_exch_time: Compute eigenvalues of covariance matrices of jointly exchangeable errors with repeated observations

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