meatABC

<p>Matrix product of A^TBC where B is a short list of parameters
 A and C must be matrices
 B is parameterized by phi, row.list, and assumed symmetric without repeats, with phi[1] along diagonal</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 

meatABC function

Matrix product of A^TBC where B is a short list of parameters
 A and C must be matrices
 B is parameterized by phi, row.list, and assumed symmetric without repeats, with phi[1] along diagonal — meatABC

Matrix product of A^TBC where B is a short list of parameters
 A and C must be matrices
 B is parameterized by phi, row.list, and assumed symmetric without repeats, with phi[1] along diagonal

meatABC: Matrix product of A^TBC where B is a short list of parameters A and C must be matrices B is parameterized by phi, row.list, and assumed symmetric without repeats, with phi[1] along diagonal

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