fstrauss.direct: Fit Strauss process to data using maximum approx. likelihood

In antiphon/rstrauss: Simulates Strauss point process, in 2D and 3D

Fit Strauss process to data using maximum approx. likelihood

Description

ML estimate of beta and gamma using optimization of log-likelihood, where the normalizing constant is approximated directly.

Usage

fstrauss.direct(x, R, lower = c(1e-09, 1e-09), upper = c(Inf, 1), init, ...)

Arguments

x	a list with elements $x:data.frame of locations (ncol 2 or 3), $bbox: matrix with columns giving window bounds
R	the fixed known interaction range. Use profile pl to infer this.
lower	Lower limits for searching (beta,gamma).
upper	Upper limits for searching (beta,gamma).
init	Initial values for optim.
...	passed on to approximate_strauss_constant Reduced sample border correction with radius R. See approximate_strauss_constant for approximation options.

antiphon/rstrauss documentation built on June 2, 2022, 7:19 a.m.