fstrauss: Fit stationary and isotropic Strauss process in 2D and 3D

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

Fit stationary and isotropic Strauss process in 2D and 3D

Description

NOTE: This is an early version.

Usage

fstrauss(x, R, approx = "LL", ...)

Arguments

x	Point pattern, see details for format.
R	The fixed interaction radius.
approx	Which approximation method to use. Default: "LL". See details.
...	Passed on to the method. Data can be given in several formats: matrix Columnwise coordinates. Bounding box computed. ppp 2D or 3D pattern from spatstat. list Should have elements $x columnwise matrix of coordinates and $bbox bounding box (col-wise ranges). Three approximation methods are available: LL Logistic likelihood approximation (Baddeley et al 2014). See fstrauss.logistic D Direct optimization using approximation of the normalizing constant. See fstrauss.direct B Bayesian version of D. fstrauss.bayes VB Bayesian fit using logistic likelihood and variational methods fstrauss.vbll

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