Man pages for sppmix
Modeling Spatial Poisson and Related Point Processes
| add_title | Add a title to an existing ggplot2 plot |
| approx_normmix | Approximate the masses of bivariate normal mixture components |
| check_labels | Check for label switching |
| CompareSurfs | Quantify the difference between two surfaces |
| Count_pts | Counts points in a window |
| Datasets | Datasets |
| demo_mix | Demo objects |
| Demo_sppmix | Run an sppmix package demo or vignette |
| density_plots | Plot a mixture of normal components |
| dnormmix | Calculate the density or intensity of a normal mixture over a... |
| drop_realization | Drop MCMC realizations |
| est_intensity_np | Estimate the intensity surface using a non-parametric method |
| est_MIPPP_cond_loc | Fit a MIPPP conditionally on location |
| est_MIPPP_cond_mark | Fit a MIPPP conditionally on mark |
| est_mix | Estimate a mixture model parameters using MCMC |
| FixLS_da | Fix Label Switching |
| GetBDCompfit | Retrieve parts of a BDMCMC fit |
| GetBDTable | Retrieve the MAP and distribution of the number of components |
| GetBMA | Compute the Bayesian Model average |
| GetDensityValues | Retrieve density values |
| GetIPPPLikValue | Retrieve the IPPP likelihood value |
| GetKLEst | Retrieve the surface of Kullback-Leibler (KL) estimators |
| GetMAPEst | Retrieve the surface of MAP estimators |
| GetMAPLabels | Retrieve the MAP estimates for the component labels |
| GetPMEst | Retrieve the Surface of Posterior Means |
| Get_Rdiag | Checking convergence: diagnostics |
| GetStats | Retrieves basic Bayesian estimates from a generated chain |
| helper_functions | General Helper Functions |
| kstest2d | Nonparametric Goodness-of-fit test between two point patterns |
| kstest2dsurf | Nonparametric Goodness-of-fit test for a point pattern... |
| MaternCov | Matern covariance function |
| mc_gof | Monte Carlo goodness of fit test |
| normmix | Create a 2d mixture with normal components |
| openwin_sppmix | Opens a new graphics window |
| plot2dPP | Plot a spatial point pattern |
| plot_autocorr | Checking convergence: autocorrelation plot |
| plot_avgsurf | Plot the average intensity surface |
| plot.bdmcmc_res | Plot results from a BDMCMC fit |
| plot_chains | Plot MCMC chains |
| plot_CompDist | Plots for the number of components |
| plot_convdiags | Checking convergence visually |
| plot.damcmc_res | Plot results from a DAMCMC fit |
| plot_density | Plots a density or image |
| plot_ind | Plot membership indicators |
| plot.intensity_surface | Plots a normal mixture intensity in 3d |
| plotmix_2d | 2d exploratory plots for mixture intensity surfaces |
| plotmix_3d | Plot the density or intensity of a normal mixture in 3d over... |
| plot_MPP_fields | Plot the mark probability fields |
| plot_MPP_probs | Plot the mark probabilities of a marked point pattern |
| plot_runmean | Checking convergence: running means plot |
| Plots_off | Closes all open plots |
| plot.sppmix | Plot a spatial point pattern |
| plot_true_labels | Plot the true membership indicators |
| PlotUSAStates | Visualization of USA states and their counties |
| rGRF | Generate a Gaussian Random Field |
| rMIPPP_cond_loc | Generate a Marked Poisson point process (conditional on... |
| rMIPPP_cond_mark | Generate a Marked Poisson point process (conditional on mark) |
| rmixsurf | Generate a Poisson process surface object |
| rnormmix | Generate a mixture with normal components |
| rsppmix | Generate a point pattern from a Poisson process |
| Save_AllOpenRglGraphs | Saves RGL plots |
| selectMix | Mixture Model Selection |
| sppmix | sppmix: Poisson point process modeling using normal mixture... |
| summary.bdmcmc_res | Summarize BDMCMC results |
| summary.damcmc_res | Summarize DAMCMC results |
| to_int_surf | Convert a normal mixture to an intensity surface |
