The function returns a numeric vector of eigenvalues of the weights matrix
generated from the spatial weights object listw. The eigenvalues are
used to speed the computation of the Jacobian in spatial SAR model estimation:$$\log(\det[I - \rho W]) = \log\prod_{i=1}^{n}(1 - \rho \lambda_i)$$
where $W$ is the n by n spatial weights matrix, and $_i$ are the
eigenvalues of $W$.
eigenw(listw, quiet=TRUE)- listw
{a listw object created for example by nb2listw}
- quiet
{set to FALSE for short summary}
a numeric vector of eigenvalues of the weights matrix generated from the
spatial weights object listw.
Cliff, A. D., Ord, J. K. 1981 Spatial processes, Pion, p. 155;
Ord, J. K. 1975 Estimation methods for models of spatial interaction, Journal
of the American Statistical Association, 70, 120-126.
[object Object],[object Object],[object Object]
eigen,
data(oldcol)
W.eig <- eigenw(nb2listw(COL.nb, style="W"))
1/range(W.eig)
S.eig <- eigenw(nb2listw(COL.nb, style="S"))
1/range(S.eig)
B.eig <- eigenw(nb2listw(COL.nb, style="B"))
1/range(B.eig)
spatial