Bayesian Inference for Neyman-Scott Point Processes

Documentation for package ‘binspp’ version 0.1.26

binspp	Bayesian inference for Neyman-Scott point processes
cov_refor	Distance to the reforestration polygon
cov_reserv	Distance to the reservoir
cov_slope	Slope of the area
cov_tdensity	Trees density
cov_tmi	Topographic moisture index
estgtp	Bayesian MCMC estimation of parameters of generalized Thomas process
estgtpr	Results for Bayesian MCMC estimation of parameters of generalized Thomas process
estintp	Estimation of Thomas-type cluster point process with complex inhomogeneities
first_step	Estimate the first-order inhomogeneity
plot_outputs	Graphical output describing the posterior distributions
print_outputs	Text output describing the posterior distributions
re_estimate	Re-estimate the posterior distributions with different burn-in
rgtp	Simulation of generalized Thomas process
rThomasInhom	Simulate a realization of Thomas-type cluster point process with complex inhomogeneities
trees_N4	Spanish oak trees
x_left_N4	Left horizontal corners for trees_N4 dataset
x_right_N4	Right horizontal corners for trees_N4 dataset
y_bottom_N4	Bottom vertical corners for trees_N4 dataset
y_top_N4	Vertical corners for trees_N4 dataset