call_summ_func: Helper function for both 'estimate_K_f' and 'estimate_L_f'.
In myllym/spptest: Spatial point process testing

Helper function for both estimate_K_f and estimate_L_f.

1
2
3

call_summ_func(pattern, do_besags_L, edge_correction = "translate",
  mtf_name = "m", r_max = NULL, r_vec = NULL, calc_unmarked = TRUE,
  use_biased_lambda2 = FALSE)

`pattern`	A `ppp` object as the simple marked point pattern to be analysed. The marks need to be in the form of a numeric vector. The window has to have the type "rectangle".
`do_besags_L`	Whether to calculate the K_f or the L_f function.
`edge_correction`	The name of the edge correction to be used. Options are 'translate' and 'none'.
`mtf_name`	A vector of mark test function names. "1" stands for the unmarked K-function. Accepted values are '1', 'm', 'mm', 'gamma', 'gammaAbs' and 'morAbs'.
`r_max`	A positive scalar value representing the maximum radius that should be considered. r_vec overrides r_max. By default, r_max is NULL and will get a sensible default.
`r_vec`	A monotonically increasing vector of non-negative r-values to act as the endpoints of the bins for the K_f-functions. r_vec overrides r_max. The bins are exclusive on the left and inclusive on the right. If the first vector element has value zero, it will be regarded as the collapsed bin [0, 0], and the next bin will start from and exclude 0.
`calc_unmarked`	Whether to include the unmarked K or L in the result.
`use_biased_lambda2`	A logical scalar on whether to use the biased or the unbiased (in the Poisson case) estimate of the intensity squared.

A list with either two or three components. 'obs' has the summary function that was asked for. 'r' contains the radius values. 'unmarked' contains the unmarked K or L function, if asked for.

myllym/spptest documentation built on May 23, 2019, noon