A function for estimating a SUR criterion with a realisation of a PPP
estimateSUR(
PPP,
xi_PPP_X,
integrated = TRUE,
N_ppp,
method = "discrete",
SUR_pop,
r = N.batch,
optimcontrol = list(pop.size = 50 * d, max.generations = 10 * d),
approx.pnorm,
J = 0,
N.batch = foreach::getDoParWorkers(),
verbose = 0,
...
)
a list containing the points minimising the criterion
the Poisson point process generated to get alpha.
the output of xi(cbind(PPP$X, PPP$final_X)).
boolean to specify of SUR criterion is standard or integrated.
the number of Poisson processes used for the SUR criterion estimation.
eiter "genoud" for an optimisation using the package rgenoud
or
"discrete" for a discrete search over SUR_pop
.
if optimcontrol$method=="discrete"
, SUR_pop is the population
onto which minimizer is sought. Should
be a matrix d x n.
number of points to be added to the DoE.
a list of control parameters for the optimisation
of the SUR criterion using the rgenoud
package.
(optional) an approximation of base pnorm function running faster.
the center of an interval of size 8 for pnorm approximation.
Number of batchs for parallel computation.
to control the print level of the algorithm
further arguments to be passed to fSUR.