# Modeling Spatial Poisson and Related Point Processes

## Documentation for package ‘sppmix’ version 1.0.2

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Code demos. Use demo() to run them.
- Package NEWS.

## Help Pages

sppmix-package | sppmix: Poisson point process modeling using normal mixture models for the intensity surface
add_title | Add a title to an existing ggplot2 plot
approx_normmix | Approximate the masses of bivariate normal mixture components
CAQuakes2014 | Datasets
CAQuakes2014.RichterOver3.0 | Datasets
check_labels | Check for label switching
ChicagoArea | Datasets
ChicagoCrime2015 | Datasets
CompareSurfs | Quantify the difference between two surfaces
ContinentalUSA_state_names | Datasets
Count_pts | Counts points in a window
Datasets | Datasets
demo_genPPP | Demo objects
demo_intsurf | Demo objects
demo_intsurf3comp | Demo objects
demo_mix | Demo objects
Demo_sppmix | Run an sppmix package demo or vignette
demo_truemix3 | Demo objects
demo_truemix3comp | Demo objects
demo_truesurf3 | Demo objects
dnormmix | Calculate the density or intensity of a normal mixture over a fine grid
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_bdmcmc | Estimate a mixture model parameters using MCMC
est_mix_damcmc | 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
GetStats | Retrieves basic Bayesian estimates from a generated chain
Get_Rdiag | Checking convergence: diagnostics
kstest2d | Nonparametric Goodness-of-fit test between two point patterns
kstest2dsurf | Nonparametric Goodness-of-fit test for a point pattern against a surface
MaternCov | Matern covariance function
mc_gof | Monte Carlo goodness of fit test
MOAggIncomeLevelsPerCounty | Datasets
normmix | Create a 2d mixture with normal components
openwin_sppmix | Opens a new graphics window
plot.bdmcmc_res | Plot results from a BDMCMC fit
plot.damcmc_res | Plot results from a DAMCMC fit
plot.intensity_surface | Plots a normal mixture intensity in 3d
plot.MIPPP_fit | Fit a MIPPP conditionally on location
plot.normmix | Plot a mixture of normal components
plot.sppmix | Plot a spatial point pattern
plot2dPP | Plot a spatial point pattern
plotmix_2d | 2d exploratory plots for mixture intensity surfaces
plotmix_3d | Plot the density or intensity of a normal mixture in 3d over a fine grid
plotstring | General Helper Functions
Plots_off | Closes all open plots
PlotUSAStates | Visualization of USA states and their counties
plot_autocorr | Checking convergence: autocorrelation plot
plot_avgsurf | Plot the average intensity surface
plot_chains | Plot MCMC chains
plot_CompDist | Plots for the number of components
plot_convdiags | Checking convergence visually
plot_density | Plots a density or image
plot_ind | Plot membership indicators
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
plot_true_labels | Plot the true membership indicators
print.intensity_surface | Create a 2d mixture with normal components
print.normmix | Create a 2d mixture with normal components
rGRF | Generate a Gaussian Random Field
rMIPPP_cond_loc | Generate a Marked Poisson point process (conditional on location)
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 models for the intensity surface
summary.bdmcmc_res | Summarize BDMCMC results
summary.damcmc_res | Summarize DAMCMC results
summary.intensity_surface | Create a 2d mixture with normal components
summary.MIPPP_fit | Fit a MIPPP conditionally on location
summary.normmix | Create a 2d mixture with normal components
summary.sppmix | Generate a point pattern from a Poisson process
Tornadoes2011MO | Datasets
TornadoesAll | Datasets
to_int_surf | Convert a normal mixture to an intensity surface
USAStatesCounties2016 | Datasets