AreaInter               The Area Interaction Point Process Model
BadGey                  Hybrid Geyer Point Process Model
CDF                     Cumulative Distribution Function From Kernel
                        Density Estimate
Concom                  The Connected Component Process Model
DiggleGatesStibbard     Diggle-Gates-Stibbard Point Process Model
DiggleGratton           Diggle-Gratton model
Emark                   Diagnostics for random marking
F3est                   Empty Space Function of a Three-Dimensional
                        Point Pattern
Fest                    Estimate the Empty Space Function or its Hazard
                        Rate
Fiksel                  The Fiksel Interaction
Finhom                  Inhomogeneous Empty Space Function
FmultiInhom             Inhomogeneous Marked F-Function
G3est                   Nearest Neighbour Distance Distribution
                        Function of a Three-Dimensional Point Pattern
Gcom                    Model Compensator of Nearest Neighbour Function
Gcross                  Multitype Nearest Neighbour Distance Function
                        (i-to-j)
Gdot                    Multitype Nearest Neighbour Distance Function
                        (i-to-any)
Gest                    Nearest Neighbour Distance Function G
Geyer                   Geyer's Saturation Point Process Model
Gfox                    Foxall's Distance Functions
Ginhom                  Inhomogeneous Nearest Neighbour Function
Gmulti                  Marked Nearest Neighbour Distance Function
GmultiInhom             Inhomogeneous Marked G-Function
Gres                    Residual G Function
Hardcore                The Hard Core Point Process Model
Hest                    Spherical Contact Distribution Function
HierHard                The Hierarchical Hard Core Point Process Model
HierStrauss             The Hierarchical Strauss Point Process Model
HierStraussHard         The Hierarchical Strauss Hard Core Point
                        Process Model
Hybrid                  Hybrid Interaction Point Process Model
Iest                    Estimate the I-function
Jcross                  Multitype J Function (i-to-j)
Jdot                    Multitype J Function (i-to-any)
Jest                    Estimate the J-function
Jinhom                  Inhomogeneous J-function
Jmulti                  Marked J Function
K3est                   K-function of a Three-Dimensional Point Pattern
Kcom                    Model Compensator of K Function
Kcross                  Multitype K Function (Cross-type)
Kcross.inhom            Inhomogeneous Cross K Function
Kdot                    Multitype K Function (i-to-any)
Kdot.inhom              Inhomogeneous Multitype K Dot Function
Kest                    K-function
Kest.fft                K-function using FFT
Kinhom                  Inhomogeneous K-function
Kmark                   Mark-Weighted K Function
Kmeasure                Reduced Second Moment Measure
Kmodel                  K Function or Pair Correlation Function of a
                        Point Process Model
Kmodel.dppm             K-function or Pair Correlation Function of a
                        Determinantal Point Process Model
Kmodel.kppm             K Function or Pair Correlation Function of
                        Cluster Model or Cox model
Kmodel.ppm              K Function or Pair Correlation Function of
                        Gibbs Point Process model
Kmulti                  Marked K-Function
Kmulti.inhom            Inhomogeneous Marked K-Function
Kres                    Residual K Function
Kscaled                 Locally Scaled K-function
Ksector                 Sector K-function
LambertW                Lambert's W Function
Lcross                  Multitype L-function (cross-type)
Lcross.inhom            Inhomogeneous Cross Type L Function
Ldot                    Multitype L-function (i-to-any)
Ldot.inhom              Inhomogeneous Multitype L Dot Function
LennardJones            The Lennard-Jones Potential
Lest                    L-function
Linhom                  Inhomogeneous L-function
MultiHard               The Multitype Hard Core Point Process Model
MultiStrauss            The Multitype Strauss Point Process Model
MultiStraussHard        The Multitype/Hard Core Strauss Point Process
                        Model
Ops.msr                 Arithmetic Operations on Measures
Ord                     Generic Ord Interaction model
OrdThresh               Ord's Interaction model
PPversion               Transform a Function into its P-P or Q-Q
                        Version
PairPiece               The Piecewise Constant Pairwise Interaction
                        Point Process Model
Pairwise                Generic Pairwise Interaction model
Penttinen               Penttinen Interaction
Poisson                 Poisson Point Process Model
SatPiece                Piecewise Constant Saturated Pairwise
                        Interaction Point Process Model
Saturated               Saturated Pairwise Interaction model
Smooth                  Spatial smoothing of data
Smooth.fv               Apply Smoothing to Function Values
Smooth.msr              Smooth a Signed or Vector-Valued Measure
Smooth.ppp              Spatial smoothing of observations at irregular
                        points
Smooth.ssf              Smooth a Spatially Sampled Function
Smoothfun.ppp           Smooth Interpolation of Marks as a Spatial
                        Function
Softcore                The Soft Core Point Process Model
Strauss                 The Strauss Point Process Model
StraussHard             The Strauss / Hard Core Point Process Model
Triplets                The Triplet Point Process Model
Tstat                   Third order summary statistic
Window.ppm              Extract Window of Spatial Object
[.fasp                  Extract Subset of Function Array
[.fv                    Extract or Replace Subset of Function Values
[.influence.ppm         Extract Subset of Influence Object
[.leverage.ppm          Extract Subset of Leverage Object
[.msr                   Extract Subset of Signed or Vector Measure
[.ssf                   Subset of spatially sampled function
adaptive.density        Adaptive Estimate of Intensity of Point Pattern
addvar                  Added Variable Plot for Point Process Model
allstats                Calculate four standard summary functions of a
                        point pattern.
alltypes                Calculate Summary Statistic for All Types in a
                        Multitype Point Pattern
anova.mppm              ANOVA for Fitted Point Process Models for
                        Replicated Patterns
anova.ppm               ANOVA for Fitted Point Process Models
anova.slrm              Analysis of Deviance for Spatial Logistic
                        Regression Models
as.data.frame.envelope
                        Coerce Envelope to Data Frame
as.function.fv          Convert Function Value Table to Function
as.function.leverage.ppm
                        Convert Leverage Object to Function of
                        Coordinates
as.function.rhohat      Convert Function Table to Function
as.fv                   Convert Data To Class fv
as.interact             Extract Interaction Structure
as.layered.msr          Convert Measure To Layered Object
as.owin.ppm             Convert Data To Class owin
as.ppm                  Extract Fitted Point Process Model
auc                     Area Under ROC Curve
bc.ppm                  Bias Correction for Fitted Model
berman.test             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.CvL                  Cronie and van Lieshout's Criterion for
                        Bandwidth Selection for Kernel Density
bw.CvLHeat              Bandwidth Selection for Diffusion Smoother by
                        Cronie-van Lieshout Rule
bw.abram                Abramson's Adaptive Bandwidths
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.scott                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
cauchy.estK             Fit the Neyman-Scott cluster process with
                        Cauchy kernel
cauchy.estpcf           Fit the Neyman-Scott cluster process with
                        Cauchy kernel
cdf.test                Spatial Distribution Test for Point Pattern or
                        Point Process Model
cdf.test.mppm           Spatial Distribution Test for Multiple Point
                        Process Model
circdensity             Density Estimation for Circular Data
clarkevans              Clark and Evans Aggregation Index
clarkevans.test         Clark and Evans Test
closepaircounts         Count Close Pairs of Points
clusterfield            Field of clusters
clusterfit              Fit Cluster or Cox Point Process Model via
                        Minimum Contrast
clusterkernel           Extract Cluster Offspring Kernel
clusterradius           Compute or Extract Effective Range of Cluster
                        Kernel
clusterset              Allard-Fraley Estimator of Cluster Feature
coef.mppm               Coefficients of Point Process Model Fitted to
                        Multiple Point Patterns
coef.ppm                Coefficients of Fitted Point Process Model
coef.slrm               Coefficients of Fitted Spatial Logistic
                        Regression Model
collapse.fv             Collapse Several Function Tables into One
compareFit              Residual Diagnostics for Multiple Fitted Models
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
cov.im                  Covariance and Correlation between Images
data.ppm                Extract Original Data from a Fitted Point
                        Process Model
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
default.expand          Default Expansion Rule for Simulation of Model
default.rmhcontrol      Set Default Control Parameters for
                        Metropolis-Hastings Algorithm.
density.ppp             Kernel Smoothed Intensity of 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
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
densityfun.ppp          Kernel Estimate of Intensity as a Spatial
                        Function
deriv.fv                Calculate Derivative of Function Values
detpointprocfamilyfun   Construct a New Determinantal Point Process
                        Model Family Function
dfbetas.ppm             Parameter Influence Measure
dffit.ppm               Case Deletion Effect Measure of Fitted Model
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
diagnose.ppm            Diagnostic Plots for Fitted Point Process Model
dim.detpointprocfamily
                        Dimension of Determinantal Point Process Model
dimhat                  Estimate Dimension of Central Subspace
distcdf                 Distribution Function of Interpoint Distance
dkernel                 Kernel distributions and random generation
dmixpois                Mixed Poisson Distribution
domain.ppm              Extract the Domain of any Spatial Object
dppBessel               Bessel Type Determinantal Point Process Model
dppCauchy               Generalized Cauchy Determinantal Point Process
                        Model
dppGauss                Gaussian Determinantal Point Process Model
dppMatern               Whittle-Matern Determinantal Point Process
                        Model
dppPowerExp             Power Exponential Spectral Determinantal Point
                        Process Model
dppapproxkernel         Approximate Determinantal Point Process Kernel
dppapproxpcf            Approximate Pair Correlation Function of
                        Determinantal Point Process Model
dppeigen                Internal function calculating eig and index
dppkernel               Extract Kernel from Determinantal Point Process
                        Model Object
dppm                    Fit Determinantal Point Process Model
dppparbounds            Parameter Bound for a Determinantal Point
                        Process Model
dppspecden              Extract Spectral Density from Determinantal
                        Point Process Model Object
dppspecdenrange         Range of Spectral Density of a Determinantal
                        Point Process Model
dummify                 Convert Data to Numeric Values by Constructing
                        Dummy Variables
dummy.ppm               Extract Dummy Points Used to Fit a Point
                        Process Model
edge.Ripley             Ripley's Isotropic Edge Correction
edge.Trans              Translation Edge Correction
eem                     Exponential Energy Marks
effectfun               Compute Fitted Effect of a Spatial Covariate in
                        a Point Process Model
emend                   Force Model to be Valid
emend.ppm               Force Point Process Model to be Valid
emend.slrm              Force Spatial Logistic Regression Model to be
                        Valid
envelope                Simulation Envelopes of Summary Function
envelope.envelope       Recompute Envelopes
envelope.pp3            Simulation Envelopes of Summary Function for 3D
                        Point Pattern
envelopeArray           Array of Simulation Envelopes of Summary
                        Function
eval.fasp               Evaluate Expression Involving Function Arrays
eval.fv                 Evaluate Expression Involving Functions
exactMPLEstrauss        Exact Maximum Pseudolikelihood Estimate for
                        Stationary Strauss Process
expand.owin             Apply Expansion Rule
fasp.object             Function Arrays for Spatial Patterns
fitin.ppm               Extract the Interaction from a Fitted Point
                        Process Model
fitted.mppm             Fitted Conditional Intensity for Multiple Point
                        Process Model
fitted.ppm              Fitted Conditional Intensity for Point Process
                        Model
fitted.slrm             Fitted Probabilities for Spatial Logistic
                        Regression
fixef.mppm              Extract Fixed Effects from Point Process Model
formula.fv              Extract or Change the Plot Formula for a
                        Function Value Table
formula.ppm             Model Formulae for Gibbs Point Process Models
fryplot                 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
gauss.hermite           Gauss-Hermite Quadrature Approximation to
                        Expectation for Normal Distribution
harmonic                Basis for Harmonic Functions
harmonise.fv            Make Function Tables Compatible
harmonise.msr           Make Measures Compatible
hierpair.family         Hierarchical Pairwise Interaction Process
                        Family
hopskel                 Hopkins-Skellam Test
hotbox                  Heat Kernel for a Two-Dimensional Rectangle
hybrid.family           Hybrid Interaction Family
ic.kppm                 Model selection criteria for the intensity
                        function of a point process
idw                     Inverse-distance weighted smoothing of
                        observations at irregular points
improve.kppm            Improve Intensity Estimate of Fitted Cluster
                        Point Process Model
increment.fv            Increments of a Function
influence.ppm           Influence Measure for Spatial Point Process
                        Model
inforder.family         Infinite Order Interaction Family
integral.msr            Integral of a Measure
intensity.dppm          Intensity of Determinantal Point Process Model
intensity.ppm           Intensity of Fitted Point Process Model
intensity.slrm          Intensity of Fitted Spatial Logistic Regression
                        Model
ippm                    Fit Point Process Model Involving Irregular
                        Trend Parameters
is.dppm                 Recognise Fitted Determinantal Point Process
                        Models
is.hybrid               Test Whether Object is a Hybrid
is.marked.ppm           Test Whether A Point Process Model is Marked
is.multitype.ppm        Test Whether A Point Process Model is Multitype
is.ppm                  Test Whether An Object Is A Fitted Point
                        Process Model
is.stationary           Recognise Stationary and Poisson Point Process
                        Models
isf.object              Interaction Structure Family Objects
kaplan.meier            Kaplan-Meier Estimator using Histogram Data
kernel.factor           Scale factor for density kernel
kernel.moment           Moment of Smoothing Kernel
kernel.squint           Integral of Squared Kernel
km.rs                   Kaplan-Meier and Reduced Sample Estimator using
                        Histograms
kppm                    Fit Cluster or Cox Point Process Model
laslett                 Laslett's Transform
leverage.ppm            Leverage Measure for Spatial Point Process
                        Model
leverage.slrm           Leverage and Influence Diagnostics for Spatial
                        Logistic Regression
lgcp.estK               Fit a Log-Gaussian Cox Point Process by Minimum
                        Contrast
lgcp.estpcf             Fit a Log-Gaussian Cox Point Process by Minimum
                        Contrast
localK                  Neighbourhood density function
localKcross             Local Multitype K Function (Cross-Type)
localKcross.inhom       Inhomogeneous Multitype K Function
localKdot               Local Multitype K Function (Dot-Type)
localKinhom             Inhomogeneous Neighbourhood Density Function
localpcf                Local pair correlation function
logLik.dppm             Log Likelihood and AIC for Fitted Determinantal
                        Point Process Model
logLik.kppm             Log Likelihood and AIC for Fitted Cox or
                        Cluster Point Process Model
logLik.mppm             Log Likelihood and AIC for Multiple Point
                        Process Model
logLik.ppm              Log Likelihood and AIC for Point Process Model
logLik.slrm             Loglikelihood of Spatial Logistic Regression
lohboot                 Bootstrap Confidence Bands for Summary Function
lurking                 Lurking Variable Plot
lurking.mppm            Lurking Variable Plot for Multiple Point
                        Patterns
markconnect             Mark Connection Function
markcorr                Mark Correlation Function
markcrosscorr           Mark Cross-Correlation Function
markmarkscatter         Mark-Mark Scatter Plot
marktable               Tabulate Marks in Neighbourhood of Every Point
                        in a Point Pattern
markvario               Mark Variogram
matclust.estK           Fit the Matern Cluster Point Process by Minimum
                        Contrast
matclust.estpcf         Fit the Matern Cluster Point Process by Minimum
                        Contrast Using Pair Correlation
measureContinuous       Discrete and Continuous Components of a Measure
measureVariation        Positive and Negative Parts, and Variation, of
                        a Measure
methods.dppm            Methods for Determinantal Point Process Models
methods.fii             Methods for Fitted Interactions
methods.influence.ppm   Methods for Influence Objects
methods.kppm            Methods for Cluster Point Process Models
methods.leverage.ppm    Methods for Leverage Objects
methods.objsurf         Methods for Objective Function Surfaces
methods.rho2hat         Methods for Intensity Functions of Two Spatial
                        Covariates
methods.rhohat          Methods for Intensity Functions of Spatial
                        Covariate
methods.slrm            Methods for Spatial Logistic Regression Models
methods.ssf             Methods for Spatially Sampled Functions
methods.zclustermodel   Methods for Cluster Models
mincontrast             Method of Minimum Contrast
miplot                  Morisita Index Plot
model.depends           Identify Covariates Involved in each Model Term
model.frame.ppm         Extract the Variables in a Point Process Model
model.images            Compute Images of Constructed Covariates
model.matrix.mppm       Extract Design Matrix of Point Process Model
                        for Several Point Patterns
model.matrix.ppm        Extract Design Matrix from Point Process Model
model.matrix.slrm       Extract Design Matrix from Spatial Logistic
                        Regression Model
mppm                    Fit Point Process Model to Several Point
                        Patterns
msr                     Signed or Vector-Valued Measure
nnclean                 Nearest Neighbour Clutter Removal
nncorr                  Nearest-Neighbour Correlation Indices of Marked
                        Point Pattern
nndensity.ppp           Estimate Intensity of Point Pattern Using
                        Nearest Neighbour Distances
nnorient                Nearest Neighbour Orientation Distribution
npfun                   Dummy Function Returns Number of Points
objsurf                 Objective Function Surface
ord.family              Ord Interaction Process Family
pairMean                Mean of a Function of Interpoint Distance
pairorient              Point Pair Orientation Distribution
pairs.im                Scatterplot Matrix for Pixel Images
pairsat.family          Saturated Pairwise Interaction Point Process
                        Family
pairwise.family         Pairwise Interaction Process Family
panel.contour           Panel Plots using Colour Image or Contour Lines
parameters              Extract Model Parameters in Understandable Form
parres                  Partial Residuals for Point Process Model
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
plot.bermantest         Plot Result of Berman Test
plot.cdftest            Plot a Spatial Distribution Test
plot.dppm               Plot a fitted determinantal point process
plot.envelope           Plot a Simulation Envelope
plot.fasp               Plot a Function Array
plot.fv                 Plot Function Values
plot.influence.ppm      Plot Influence Measure
plot.kppm               Plot a fitted cluster point process
plot.laslett            Plot Laslett Transform
plot.leverage.ppm       Plot Leverage Function
plot.mppm               plot a Fitted Multiple Point Process Model
plot.msr                Plot a Signed or Vector-Valued Measure
plot.plotppm            Plot a plotppm Object Created by plot.ppm
plot.ppm                plot a Fitted Point Process Model
plot.profilepl          Plot Profile Likelihood
plot.quadrattest        Display the result of a quadrat counting test.
plot.rppm               Plot a Recursively Partitioned Point Process
                        Model
plot.scan.test          Plot Result of Scan Test
plot.slrm               Plot a Fitted Spatial Logistic Regression
plot.ssf                Plot a Spatially Sampled Function
plot.studpermutest      Plot a Studentised Permutation Test
polynom                 Polynomial in One or Two Variables
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
ppm                     Fit Point Process Model to Data
ppm.object              Class of Fitted Point Process Models
ppm.ppp                 Fit Point Process Model to Point Pattern Data
ppmInfluence            Leverage and Influence Measures for Spatial
                        Point Process Model
predict.dppm            Prediction from a Fitted Determinantal Point
                        Process Model
predict.kppm            Prediction from a Fitted Cluster Point Process
                        Model
predict.mppm            Prediction for Fitted Multiple Point Process
                        Model
predict.ppm             Prediction from a Fitted Point Process Model
predict.rppm            Make Predictions From a Recursively Partitioned
                        Point Process Model
predict.slrm            Predicted or Fitted Values from Spatial
                        Logistic Regression
print.ppm               Print a Fitted Point Process Model
profilepl               Fit Models by Profile Maximum Pseudolikelihood
                        or AIC
prune.rppm              Prune a Recursively Partitioned Point Process
                        Model
pseudoR2                Calculate Pseudo-R-Squared for Point Process
                        Model
psib                    Sibling Probability of Cluster Point Process
psst                    Pseudoscore Diagnostic For Fitted Model against
                        General Alternative
psstA                   Pseudoscore Diagnostic For Fitted Model against
                        Area-Interaction Alternative
psstG                   Pseudoscore Diagnostic For Fitted Model against
                        Saturation Alternative
qqplot.ppm              Q-Q Plot of Residuals from Fitted Point Process
                        Model
quad.ppm                Extract Quadrature Scheme Used to Fit a Point
                        Process Model
quadrat.test            Dispersion Test for Spatial Point Pattern Based
                        on Quadrat Counts
quadrat.test.mppm       Chi-Squared Test for Multiple Point Process
                        Model Based on Quadrat Counts
quadrat.test.splitppp   Dispersion Test of CSR for Split Point Pattern
                        Based on Quadrat Counts
quadratresample         Resample a Point Pattern by Resampling Quadrats
quantile.density        Quantiles of a Density Estimate
rCauchy                 Simulate Neyman-Scott Point Process with Cauchy
                        cluster kernel
rDGS                    Perfect Simulation of the Diggle-Gates-Stibbard
                        Process
rDiggleGratton          Perfect Simulation of the Diggle-Gratton
                        Process
rGaussPoisson           Simulate Gauss-Poisson Process
rHardcore               Perfect Simulation of the Hardcore Process
rLGCP                   Simulate Log-Gaussian Cox Process
rMatClust               Simulate Matern Cluster Process
rMaternI                Simulate Matern Model I
rMaternII               Simulate Matern Model II
rMosaicField            Mosaic Random Field
rMosaicSet              Mosaic Random Set
rNeymanScott            Simulate Neyman-Scott Process
rPSNCP                  Simulate Product Shot-noise Cox Process
rPenttinen              Perfect Simulation of the Penttinen Process
rPoissonCluster         Simulate Poisson Cluster Process
rSSI                    Simulate Simple Sequential Inhibition
rStrauss                Perfect Simulation of the Strauss Process
rStraussHard            Perfect Simulation of the Strauss-Hardcore
                        Process
rThomas                 Simulate Thomas Process
rVarGamma               Simulate Neyman-Scott Point Process with
                        Variance Gamma cluster kernel
rags                    Alternating Gibbs Sampler for Multitype Point
                        Processes
ragsAreaInter           Alternating Gibbs Sampler for Area-Interaction
                        Process
ragsMultiHard           Alternating Gibbs Sampler for Multitype Hard
                        Core Process
ranef.mppm              Extract Random Effects from Point Process Model
range.fv                Range of Function Values
rat                     Ratio object
rcell                   Simulate Baddeley-Silverman Cell Process
rcellnumber             Generate Random Numbers of Points for Cell
                        Process
rdpp                    Simulation of a Determinantal Point Process
reach                   Interaction Distance of a Point Process
reach.dppm              Range of Interaction for a Determinantal Point
                        Process Model
reach.kppm              Range of Interaction for a Cox or Cluster Point
                        Process Model
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.ppm             Parametric Estimate of Spatially-Varying
                        Relative Risk
relrisk.ppp             Nonparametric Estimate of Spatially-Varying
                        Relative Risk
repul.dppm              Repulsiveness Index of a Determinantal Point
                        Process Model
residuals.dppm          Residuals for Fitted Determinantal Point
                        Process Model
residuals.kppm          Residuals for Fitted Cox or Cluster Point
                        Process Model
residuals.mppm          Residuals for Point Process Model Fitted to
                        Multiple Point Patterns
residuals.ppm           Residuals for Fitted Point Process Model
residuals.slrm          Residuals for Fitted Spatial Logistic
                        Regression Model
response                Extract the Values of the Response from a
                        Fitted Model
rex                     Richardson Extrapolation
rho2hat                 Smoothed Relative Density of Pairs of Covariate
                        Values
rhohat                  Nonparametric Estimate of Intensity as Function
                        of a Covariate
rjitter.psp             Random Perturbation of Line Segment Pattern
rknn                    Theoretical Distribution of Nearest Neighbour
                        Distance
rlabel                  Random Re-Labelling of Point Pattern
rmh                     Simulate point patterns using the
                        Metropolis-Hastings algorithm.
rmh.default             Simulate Point Process Models using the
                        Metropolis-Hastings Algorithm.
rmh.ppm                 Simulate from a Fitted Point Process Model
rmhcontrol              Set Control Parameters for Metropolis-Hastings
                        Algorithm.
rmhexpand               Specify Simulation Window or Expansion Rule
rmhmodel                Define Point Process Model for
                        Metropolis-Hastings Simulation.
rmhmodel.default        Build Point Process Model for
                        Metropolis-Hastings Simulation.
rmhmodel.list           Define Point Process Model for
                        Metropolis-Hastings Simulation.
rmhmodel.ppm            Interpret Fitted Model for Metropolis-Hastings
                        Simulation.
rmhstart                Determine Initial State for Metropolis-Hastings
                        Simulation.
rmpoint                 Generate N Random Multitype Points
rmpoispp                Generate Multitype Poisson Point Pattern
rnoise                  Random Pixel Noise
roc                     Receiver Operating Characteristic
rose                    Rose Diagram
rotmean                 Rotational Average of a Pixel Image
rpoint                  Generate N Random Points
rpoisline               Generate Poisson Random Line Process
rpoislinetess           Poisson Line Tessellation
rpoispp                 Generate Poisson Point Pattern
rpoispp3                Generate Poisson Point Pattern in Three
                        Dimensions
rpoisppOnLines          Generate Poisson Point Pattern on Line Segments
rpoisppx                Generate Poisson Point Pattern in Any
                        Dimensions
rppm                    Recursively Partitioned Point Process Model
rshift                  Random Shift
rshift.ppp              Randomly Shift a Point Pattern
rshift.psp              Randomly Shift a Line Segment Pattern
rshift.splitppp         Randomly Shift a List of Point Patterns
rstrat                  Simulate Stratified Random Point Pattern
rtemper                 Simulated Annealing or Simulated Tempering for
                        Gibbs Point Processes
rthin                   Random Thinning
rthinclumps             Random Thinning of Clumps
runifdisc               Generate N Uniform Random Points in a Disc
runifpoint              Generate N Uniform Random Points
runifpoint3             Generate N Uniform Random Points in Three
                        Dimensions
runifpointOnLines       Generate N Uniform Random Points On Line
                        Segments
runifpointx             Generate N Uniform Random Points in Any
                        Dimensions
scan.test               Spatial Scan Test
scanLRTS                Likelihood Ratio Test Statistic for Scan Test
sdr                     Sufficient Dimension Reduction
sdrPredict              Compute Predictors from Sufficient Dimension
                        Reduction
segregation.test        Test of Spatial Segregation of Types
sharpen                 Data Sharpening of Point Pattern
simulate.dppm           Simulation of Determinantal Point Process Model
simulate.kppm           Simulate a Fitted Cluster Point Process Model
simulate.mppm           Simulate a Point Process Model Fitted to
                        Several Point Patterns
simulate.ppm            Simulate a Fitted Gibbs Point Process Model
simulate.slrm           Simulate a Fitted Spatial Logistic Regression
                        Model
slrm                    Spatial Logistic Regression
spatcov                 Estimate the Spatial Covariance Function of a
                        Random Field
spatialcdf              Spatial Cumulative Distribution Function
spatstat.core-package   The spatstat.core Package
split.msr               Divide a Measure into Parts
ssf                     Spatially Sampled Function
stieltjes               Compute Integral of Function Against Cumulative
                        Distribution
stienen                 Stienen Diagram
studpermu.test          Studentised Permutation Test
subfits                 Extract List of Individual Point Process Models
subspaceDistance        Distance Between Linear Spaces
suffstat                Sufficient Statistic of Point Process Model
summary.dppm            Summarizing a Fitted Determinantal Point
                        Process Model
summary.kppm            Summarizing a Fitted Cox or Cluster Point
                        Process Model
summary.ppm             Summarizing a Fitted Point Process Model
thomas.estK             Fit the Thomas Point Process by Minimum
                        Contrast
thomas.estpcf           Fit the Thomas Point Process by Minimum
                        Contrast
thresholdCI             Confidence Interval for Threshold of Numerical
                        Predictor
thresholdSelect         Select Threshold to Convert Numerical Predictor
                        to Binary Predictor
transect.im             Pixel Values Along a Transect
triplet.family          Triplet Interaction Family
unitname.dppm           Name for Unit of Length
unstack.msr             Separate a Vector Measure into its Scalar
                        Components
update.detpointprocfamily
                        Set Parameter Values in a Determinantal Point
                        Process Model
update.interact         Update an Interpoint Interaction
update.kppm             Update a Fitted Cluster Point Process Model
update.ppm              Update a Fitted Point Process Model
update.rmhcontrol       Update Control Parameters of
                        Metropolis-Hastings Algorithm
valid                   Check Whether Point Process Model is Valid
valid.detpointprocfamily
                        Check Validity of a Determinantal Point Process
                        Model
valid.ppm               Check Whether Point Process Model is Valid
valid.slrm              Check Whether Spatial Logistic Regression Model
                        is Valid
varblock                Estimate Variance of Summary Statistic by
                        Subdivision
varcount                Predicted Variance of the Number of Points
vargamma.estK           Fit the Neyman-Scott Cluster Point Process with
                        Variance Gamma kernel
vargamma.estpcf         Fit the Neyman-Scott Cluster Point Process with
                        Variance Gamma kernel
vcov.kppm               Variance-Covariance Matrix for a Fitted Cluster
                        Point Process Model
vcov.mppm               Calculate Variance-Covariance Matrix for Fitted
                        Multiple Point Process Model
vcov.ppm                Variance-Covariance Matrix for a Fitted Point
                        Process Model
vcov.slrm               Variance-Covariance Matrix for a Fitted Spatial
                        Logistic Regression
will.expand             Test Expansion Rule
with.fv                 Evaluate an Expression in a Function Table
with.msr                Evaluate Expression Involving Components of a
                        Measure
with.ssf                Evaluate Expression in a Spatially Sampled
                        Function
zclustermodel           Cluster Point Process Model
