Man pages for binspp
Bayesian Inference for Neyman-Scott Point Processes

AuxVarGenGenerate auxiliary variable for given proposed parameters.
binsppBayesian inference for Neyman-Scott point processes
binspp-packagebinspp: Bayesian Inference for Neyman-Scott Point Processes
coeffCalculate parameters for Birth and Death Interaction...
cov_reforDistance to the reforestration polygon
cov_reservDistance to the reservoir
cov_slopeSlope of the area
cov_tdensityTrees density
cov_tmiTopographic moisture index
estgtpBayesian MCMC estimation of parameters of generalized Thomas...
estgtprResults for Bayesian MCMC estimation of parameters of...
estinternspEstimation of interaction Neyman-Scott point process using...
estintpEstimation of Thomas-type cluster point process with complex...
first_stepEstimate the first-order inhomogeneity
pCClik2Evaluate unnormalized likelihood for auxiliary variable
plot_connplot_conn
plot_outputsGraphical output describing the posterior distributions
print_outputsText output describing the posterior distributions
print_outputs_internspText output describing the posterior distributions
re_estimateRe-estimate the posterior distributions with different...
rgtpSimulation of generalized Thomas process
rThomasInhomSimulate a realization of Thomas-type cluster point process...
trees_N4Spanish oak trees
x_left_N4Left horizontal corners for trees_N4 dataset
x_right_N4Right horizontal corners for trees_N4 dataset
y_bottom_N4Bottom vertical corners for trees_N4 dataset
y_top_N4Vertical corners for trees_N4 dataset
binspp documentation built on June 8, 2025, 1:50 p.m.