 Compute power-law weights with decay parameter d based on a matrix of neighbourhood orders nbmat (e.g., as obtained via nbOrder). Without normalization and truncation, this is just $$o^{-d}$$ (where $$o$$ is a neighbourhood order). This function is mainly used internally for W_powerlaw weights in hhh4 models.

zetaweights(nbmat, d = 1, maxlag = max(nbmat), normalize = FALSE)

## Arguments

nbmat

numeric, symmetric matrix of neighbourhood orders.

d

single numeric decay parameter (default: 1). Should be positive.

maxlag

single numeric specifying an upper limit for the power law. For neighbourhood orders > maxlag, the resulting weight is 0. Defaults to no truncation.

normalize

Should the resulting weight matrix be normalized such that rows sum to 1?

## Value

a numeric matrix with same dimensions and names as the input matrix.

Sebastian Meyer

## See also

W_powerlaw

## Examples

nbmat <- matrix(c(0,1,2,2,
1,0,1,1,
2,1,0,2,
2,1,2,0), 4, 4, byrow=TRUE)
zetaweights(nbmat, d=1, normalize=FALSE) # harmonic: o^-1
zetaweights(nbmat, d=1, normalize=TRUE)  # rowSums=1
zetaweights(nbmat, maxlag=1, normalize=FALSE) # results in adjacency matrix