R: Bayesian Inference for Neyman-Scott Point Processes

# Bayesian Inference for Neyman-Scott Point Processes

## Documentation for package ‘binspp’ version 0.2.3

- 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 | Auxiliary function which calculates sum values 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.output_estintp | Graphical output describing the posterior distributions
plot_conn | plot_conn
print.output_estinternsp | Text output describing the posterior distributions
print.output_estintp | Text output describing the posterior distributions
rawMCMCoutput | Obtaining the raw MCMC output
re_estimate | Re-estimate the posterior distributions with a different burn-in or a different credibility level.
rgtp | Simulation of generalized Thomas process
rThomasInhom | Simulate a realization of Thomas-type cluster point process with complex inhomogeneities
simulate.output_estintp | Simulation from the fitted model
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