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 |