AuxVarGen: Generate auxiliary variable for given proposed parameters.

In binspp: Bayesian Inference for Neyman-Scott Point Processes

Generate auxiliary variable for given proposed parameters.

Description

Generate auxiliary variable for given proposed parameters.

Usage

AuxVarGen(kappa, theta, likelihoodprev, rho0sum, CC, AreaMRW, W_dil, niter)

Arguments

kappa	parameter to generate auxiliary variable. \kappa represents the -.
theta	parameter vector Θ = (θ1, θ2). θ1 represents -. θ2 represents-..
likelihoodprev	previous likelihood value.
rho0sum	Initial sum of interaction strengths.
CC	cluster centers.
AreaMRW	area of dilated window.
W_dil	observation window dilated by the assumed maximal cluster radius.
niter	number of iterations of MCMC.

Value

The output is a list of CC, likelihoodprev, rho0sum.

binspp documentation built on June 8, 2025, 1:50 p.m.