selectGrid: Selects a grid of indices.
In tailDepFun: Minimum Distance Estimation of Tail Dependence Models

Description Usage Arguments Value Examples

Returns a regular grid of indices in which to evaluate the stable tail dependence function.

1	selectGrid(cst, d, nonzero = 2, locations = NULL, maxDistance = 10^6)

`cst`	A vector containing the values used to construct the grid. Must contain 0.
`d`	An integer, representing the dimension.
`nonzero`	An vector containing integers between 2 and d, representing the number of non-zero elements in every row of the grid. Defaults to 2.
`locations`	A `d` x 2 matrix containing the Cartesian coordinates of d points in the plane. Used for the Brown-Resnick process only. If not `NULL`, then `cst` must be `c(0,1)` and `nonzero` must be `2`.
`maxDistance`	If `locations` is not `NULL`, pairs of locations with distance not larger than `maxDistance` will be selected.

A matrix with q rows and d columns, where every row represents a vector in which we will evaluate the stable tail dependence function (for the weighted least squares estimator) or where every row indicates which pairs of variables to use (for the M-estimator)

1
2
3

selectGrid(cst = c(0,0.5,1), d = 3, nonzero = c(2,3))
locations <- cbind(rep(1:3, each = 3), rep(1:3,3))
selectGrid(c(0,1), d = 9, locations = locations, maxDistance = 1.5)