specialise_weight: Individualize weight vectors for each mark test function.
In myllym/marksummary: Calculate summary functions for marked point patterns

Create an individual weight vector for each mark test function. The weight of the point pair (x_1, x_2) is w_1, 2 = e_1, 2 / (lambda^2 * c_f), where e_1, 2 is the edge correction term, lambda^2 is the estimate of the intensity squared and c_f is the scaling term for the mark test function. This way each pair of points has exactly one coefficient tailored for them.

1	specialise_weight(weight_vec, mark_stat, mtf_name, one_per_lambda2)

`weight_vec`	A vector of weights.
`mark_stat`	Mark statistics.
`mtf_name`	A vector containing the names of the mark test functions.
`one_per_lambda2`	An estimate for the inverse of the estimate of the intensity squared

A matrix of weights. Each column is for a different mark test function. Each row is for a different _ordered_ point pair where (x1, x2) is different from (x2, x1).

myllym/marksummary documentation built on May 23, 2019, 11:59 a.m.