Modeling Spatial Poisson and Related Point Processes


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Documentation for package ‘sppmix’ version 1.0.2.1

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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