fit.gap: Fitting a model to a Matern void point process
In cmjt/gapski: Estimation of parameters for void spaces

Fitting a model to a Matern void point process

1 2	fit.gap(points = NULL, lims = NULL, trunc = NULL, D.sv = NULL, D.bounds = NULL, trace = FALSE)

`points`	A matrix containing locations of observed points, where each row corresponds to a point and each column corresponds to a dimension.
`lims`	A matrix with two columns, corresponding to the upper and lower limits of each dimension, respectively.
`trunc`	Truncation distance for the difference process.
`D.bounds`	A named vector specifying the bounds of the parameter `D.bounds` in optimisation.
`trace`	Logical, if `TRUE`, parameter values are printed to the screen for each iteration of the optimisation procedure.
`sv`	A named vector with the starting values for `D` in optimisation.