R: Bayesian Inference for Neyman-Scott Point Processes

# Bayesian Inference for Neyman-Scott Point Processes

## Documentation for package ‘binspp’ version 0.2.2

- DESCRIPTION file.

## Help Pages

AuxVarGen | Generate auxiliary variable for given proposed parameters.
binspp | Bayesian inference for Neyman-Scott point processes
coeff | Calculate parameters for Birth and Death Interaction likelihood functions.
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
estinternsp | Estimation of interaction Neyman-Scott point process using auxiliary variable algorithm into Markov chain Monte Carlo.
estintp | Estimation of Thomas-type cluster point process with complex inhomogeneities
first_step | Estimate the first-order inhomogeneity
pCClik2 | Evaluate unnormalized likelihood for auxiliary variable
plot_conn | plot_conn
plot_outputs | Graphical output describing the posterior distributions
print_outputs | Text output describing the posterior distributions
print_outputs_internsp | 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