| berman.test |
Berman's Tests for Point Process Model |
| berman.test.ppp |
Berman's Tests for Point Process Model |
| bind.fv |
Combine Function Value Tables |
| bits.envelope |
Global Envelopes for Balanced Independent Two-Stage Test |
| bits.test |
Balanced Independent Two-Stage Monte Carlo Test |
| blur |
Apply Gaussian Blur to a Pixel Image |
| bw.abram |
Abramson's Adaptive Bandwidths |
| bw.abram.ppp |
Abramson's Adaptive Bandwidths For Spatial Point Pattern |
| bw.CvL |
Cronie and van Lieshout's Criterion for Bandwidth Selection for Kernel Density |
| bw.CvL.adaptive |
Select Adaptive Bandwidth for Kernel Estimation Using Cronie-Van Lieshout Criterion |
| bw.CvLHeat |
Bandwidth Selection for Diffusion Smoother by Cronie-van Lieshout Rule |
| bw.diggle |
Cross Validated Bandwidth Selection for Kernel Density |
| bw.frac |
Bandwidth Selection Based on Window Geometry |
| bw.pcf |
Cross Validated Bandwidth Selection for Pair Correlation Function |
| bw.ppl |
Likelihood Cross Validation Bandwidth Selection for Kernel Density |
| bw.pplHeat |
Bandwidth Selection for Diffusion Smoother by Likelihood Cross-Validation |
| bw.relrisk |
Cross Validated Bandwidth Selection for Relative Risk Estimation |
| bw.relrisk.ppp |
Cross Validated Bandwidth Selection for Relative Risk Estimation |
| bw.scott |
Scott's Rule for Bandwidth Selection for Kernel Density |
| bw.scott.iso |
Scott's Rule for Bandwidth Selection for Kernel Density |
| bw.smoothppp |
Cross Validated Bandwidth Selection for Spatial Smoothing |
| bw.stoyan |
Stoyan's Rule of Thumb for Bandwidth Selection |
| cbind.fv |
Combine Function Value Tables |
| CDF |
Cumulative Distribution Function From Kernel Density Estimate |
| CDF.density |
Cumulative Distribution Function From Kernel Density Estimate |
| cdf.test |
Spatial Distribution Test for Point Pattern or Point Process Model |
| cdf.test.ppp |
Spatial Distribution Test for Point Pattern or Point Process Model |
| circdensity |
Density Estimation for Circular Data |
| clarkevans |
Clark and Evans Aggregation Index |
| clarkevans.test |
Clark and Evans Test |
| clusterset |
Allard-Fraley Estimator of Cluster Feature |
| collapse.anylist |
Collapse Several Function Tables into One |
| collapse.fv |
Collapse Several Function Tables into One |
| compatible.fasp |
Test Whether Function Arrays Are Compatible |
| compatible.fv |
Test Whether Function Objects Are Compatible |
| compileK |
Generic Calculation of K Function and Pair Correlation Function |
| compilepcf |
Generic Calculation of K Function and Pair Correlation Function |
| contour.ssf |
Plot a Spatially Sampled Function |
| cor.im |
Covariance and Correlation between Images |
| cov.im |
Covariance and Correlation between Images |
| dclf.progress |
Progress Plot of Test of Spatial Pattern |
| dclf.sigtrace |
Significance Trace of Cressie-Loosmore-Ford or Maximum Absolute Deviation Test |
| dclf.test |
Diggle-Cressie-Loosmore-Ford and Maximum Absolute Deviation Tests |
| density.ppp |
Kernel Smoothed Intensity of Point Pattern |
| density.ppplist |
Kernel Smoothed Intensity of Split Point Pattern |
| density.psp |
Kernel Smoothing of Line Segment Pattern |
| density.splitppp |
Kernel Smoothed Intensity of Split Point Pattern |
| densityAdaptiveKernel |
Adaptive Kernel Estimate of Intensity of Point Pattern |
| densityAdaptiveKernel.ppp |
Adaptive Kernel Estimate of Intensity of Point Pattern |
| densityfun |
Kernel Estimate of Intensity as a Spatial Function |
| densityfun.ppp |
Kernel Estimate of Intensity as a Spatial Function |
| densityHeat |
Diffusion Estimate of Point Pattern Intensity |
| densityHeat.ppp |
Diffusion Estimate of Point Pattern Intensity |
| densityVoronoi |
Intensity Estimate of Point Pattern Using Voronoi-Dirichlet Tessellation |
| densityVoronoi.ppp |
Intensity Estimate of Point Pattern Using Voronoi-Dirichlet Tessellation |
| deriv.fv |
Calculate Derivative of Function Values |
| dg.envelope |
Global Envelopes for Dao-Genton Test |
| dg.progress |
Progress Plot of Dao-Genton Test of Spatial Pattern |
| dg.sigtrace |
Significance Trace of Dao-Genton Test |
| dg.test |
Dao-Genton Adjusted Goodness-Of-Fit Test |
| dimhat |
Estimate Dimension of Central Subspace |
| distcdf |
Distribution Function of Interpoint Distance |
| dkernel |
Kernel distributions and random generation |
| domain.quadrattest |
Extract the Domain of any Spatial Object |
| F3est |
Empty Space Function of a Three-Dimensional Point Pattern |
| fasp.object |
Function Arrays for Spatial Patterns |
| Fest |
Estimate the Empty Space Function or its Hazard Rate |
| Fhazard |
Estimate the Empty Space Function or its Hazard Rate |
| Finhom |
Inhomogeneous Empty Space Function |
| FmultiInhom |
Inhomogeneous Marked F-Function |
| formula.fv |
Extract or Change the Plot Formula for a Function Value Table |
| formula<- |
Extract or Change the Plot Formula for a Function Value Table |
| formula<-.fv |
Extract or Change the Plot Formula for a Function Value Table |
| fryplot |
Fry Plot of Point Pattern |
| frypoints |
Fry Plot of Point Pattern |
| fv |
Create a Function Value Table |
| fv.object |
Function Value Table |
| fvnames |
Abbreviations for Groups of Columns in Function Value Table |
| fvnames<- |
Abbreviations for Groups of Columns in Function Value Table |
| mad.progress |
Progress Plot of Test of Spatial Pattern |
| mad.sigtrace |
Significance Trace of Cressie-Loosmore-Ford or Maximum Absolute Deviation Test |
| mad.test |
Diggle-Cressie-Loosmore-Ford and Maximum Absolute Deviation Tests |
| markconnect |
Mark Connection Function |
| markcorr |
Mark Correlation Function |
| markcorrint |
Mark-Weighted K Function |
| markcrosscorr |
Mark Cross-Correlation Function |
| markmarkscatter |
Mark-Mark Scatter Plot |
| markmean |
Spatial smoothing of observations at irregular points |
| marks.ssf |
Methods for Spatially Sampled Functions |
| marks<-.ssf |
Methods for Spatially Sampled Functions |
| marktable |
Tabulate Marks in Neighbourhood of Every Point in a Point Pattern |
| markvar |
Spatial smoothing of observations at irregular points |
| markvario |
Mark Variogram |
| max.fv |
Range of Function Values |
| max.ssf |
Methods for Spatially Sampled Functions |
| mctest.progress |
Progress Plot of Test of Spatial Pattern |
| mctest.sigtrace |
Significance Trace of Cressie-Loosmore-Ford or Maximum Absolute Deviation Test |
| methods.rho2hat |
Methods for Intensity Functions of Two Spatial Covariates |
| methods.rhohat |
Methods for Intensity Functions of Spatial Covariate |
| methods.ssf |
Methods for Spatially Sampled Functions |
| min.fv |
Range of Function Values |
| min.ssf |
Methods for Spatially Sampled Functions |
| miplot |
Morisita Index Plot |
| nearest.neighbour |
Nearest Neighbour Distance Function G |
| nnclean |
Nearest Neighbour Clutter Removal |
| nnclean.pp3 |
Nearest Neighbour Clutter Removal |
| nnclean.ppp |
Nearest Neighbour Clutter Removal |
| nncorr |
Nearest-Neighbour Correlation Indices of Marked Point Pattern |
| nndensity |
Estimate Intensity of Point Pattern Using Nearest Neighbour Distances |
| nndensity.ppp |
Estimate Intensity of Point Pattern Using Nearest Neighbour Distances |
| nnmean |
Nearest-Neighbour Correlation Indices of Marked Point Pattern |
| nnorient |
Nearest Neighbour Orientation Distribution |
| nnvario |
Nearest-Neighbour Correlation Indices of Marked Point Pattern |
| pairMean |
Mean of a Function of Interpoint Distance |
| pairorient |
Point Pair Orientation Distribution |
| pairs.im |
Scatterplot Matrix for Pixel Images |
| panel.contour |
Panel Plots using Colour Image or Contour Lines |
| panel.histogram |
Panel Plots using Colour Image or Contour Lines |
| panel.image |
Panel Plots using Colour Image or Contour Lines |
| pcf |
Pair Correlation Function |
| pcf.fasp |
Pair Correlation Function obtained from array of K functions |
| pcf.fv |
Pair Correlation Function obtained from K Function |
| pcf.ppp |
Pair Correlation Function of Point Pattern |
| pcf3est |
Pair Correlation Function of a Three-Dimensional Point Pattern |
| pcfcross |
Multitype pair correlation function (cross-type) |
| pcfcross.inhom |
Inhomogeneous Multitype Pair Correlation Function (Cross-Type) |
| pcfdot |
Multitype pair correlation function (i-to-any) |
| pcfdot.inhom |
Inhomogeneous Multitype Pair Correlation Function (Type-i-To-Any-Type) |
| pcfinhom |
Inhomogeneous Pair Correlation Function |
| pcfmulti |
Marked pair correlation function |
| pkernel |
Kernel distributions and random generation |
| plot.bermantest |
Plot Result of Berman Test |
| plot.cdftest |
Plot a Spatial Distribution Test |
| plot.envelope |
Plot a Simulation Envelope |
| plot.fasp |
Plot a Function Array |
| plot.fv |
Plot Function Values |
| plot.laslett |
Plot Laslett Transform |
| plot.quadrattest |
Display the result of a quadrat counting test. |
| plot.rho2hat |
Methods for Intensity Functions of Two Spatial Covariates |
| plot.rhohat |
Methods for Intensity Functions of Spatial Covariate |
| plot.scan.test |
Plot Result of Scan Test |
| plot.ssf |
Plot a Spatially Sampled Function |
| plot.studpermutest |
Plot a Studentised Permutation Test |
| pool |
Pool Data |
| pool.anylist |
Pool Data from a List of Objects |
| pool.envelope |
Pool Data from Several Envelopes |
| pool.fasp |
Pool Data from Several Function Arrays |
| pool.fv |
Pool Several Functions |
| pool.quadrattest |
Pool Several Quadrat Tests |
| pool.rat |
Pool Data from Several Ratio Objects |
| PPversion |
Transform a Function into its P-P or Q-Q Version |
| predict.rho2hat |
Methods for Intensity Functions of Two Spatial Covariates |
| predict.rhohat |
Methods for Intensity Functions of Spatial Covariate |
| print.rho2hat |
Methods for Intensity Functions of Two Spatial Covariates |
| print.rhohat |
Methods for Intensity Functions of Spatial Covariate |
| print.ssf |
Methods for Spatially Sampled Functions |
| radcumint |
Radial Cumulative Integral |
| range.fv |
Range of Function Values |
| range.ssf |
Methods for Spatially Sampled Functions |
| rat |
Ratio object |
| rectcontact |
Contact Distribution Function using Rectangular Structuring Element |
| reduced.sample |
Reduced Sample Estimator using Histogram Data |
| reload.or.compute |
Compute Unless Previously Saved |
| relrisk |
Estimate of Spatially-Varying Relative Risk |
| relrisk.ppp |
Nonparametric Estimate of Spatially-Varying Relative Risk |
| rho2hat |
Smoothed Relative Density of Pairs of Covariate Values |
| rhohat |
Nonparametric Estimate of Intensity as Function of a Covariate |
| rhohat.ppp |
Nonparametric Estimate of Intensity as Function of a Covariate |
| rhohat.quad |
Nonparametric Estimate of Intensity as Function of a Covariate |
| rkernel |
Kernel distributions and random generation |
| rmax.Ripley |
Ripley's Isotropic Edge Correction |
| rmax.Trans |
Translation Edge Correction |
| roc |
Receiver Operating Characteristic |
| roc.ppp |
Receiver Operating Characteristic |
| rose |
Rose Diagram |
| rose.default |
Rose Diagram |
| rose.density |
Rose Diagram |
| rose.fv |
Rose Diagram |
| rose.histogram |
Rose Diagram |
| rotmean |
Rotational Average of a Pixel Image |