# Power-Law Weights According to Neighbourhood Order

`zetaweights.Rd`

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.

## Usage

`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?