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
rThomasInhom            Simulate a realization of Thomas-type cluster
                        point process with complex inhomogeneities
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
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
