Parametric Statistical Modelling and Inference for the 'spatstat' Family

Documentation for package ‘spatstat.model’ version 3.3-1

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A B C D E F G H I K L M N O P Q R S T U V W Z misc

The spatstat.model Package

-- A --

addvar	Added Variable Plot for Point Process Model
AIC.dppm	Log Likelihood and AIC for Fitted Determinantal Point Process Model
AIC.kppm	Log Likelihood and AIC for Fitted Cox or Cluster Point Process Model
AIC.mppm	Log Likelihood and AIC for Multiple Point Process Model
AIC.ppm	Log Likelihood and AIC for Point Process Model
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
AreaInter	The Area Interaction Point Process Model
as.function.leverage.ppm	Convert Leverage Object to Function of Coordinates
as.fv.dppm	Convert Fitted Model To Class fv
as.fv.kppm	Convert Fitted Model To Class fv
as.fv.minconfit	Convert Fitted Model To Class fv
as.im.leverage.ppm	Methods for Leverage Objects
as.interact	Extract Interaction Structure
as.interact.fii	Extract Interaction Structure
as.interact.interact	Extract Interaction Structure
as.interact.ppm	Extract Interaction Structure
as.interact.zgibbsmodel	Methods for Gibbs Models
as.isf.zgibbsmodel	Methods for Gibbs Models
as.layered.msr	Convert Measure To Layered Object
as.owin.dppm	Convert Data To Class owin
as.owin.influence.ppm	Methods for Influence Objects
as.owin.kppm	Convert Data To Class owin
as.owin.leverage.ppm	Methods for Leverage Objects
as.owin.msr	Convert Data To Class owin
as.owin.ppm	Convert Data To Class owin
as.owin.slrm	Convert Data To Class owin
as.ppm	Extract Fitted Point Process Model
as.ppm.dppm	Extract Fitted Point Process Model
as.ppm.kppm	Extract Fitted Point Process Model
as.ppm.ppm	Extract Fitted Point Process Model
as.ppm.profilepl	Extract Fitted Point Process Model
as.ppm.rppm	Extract Fitted Point Process Model
as.ppp.influence.ppm	Methods for Influence Objects
auc.kppm	Area Under ROC Curve
auc.ppm	Area Under ROC Curve
auc.slrm	Area Under ROC Curve

-- B --

BadGey	Hybrid Geyer Point Process Model
bc	Bias Correction for Fitted Model
bc.ppm	Bias Correction for Fitted Model
berman.test.ppm	Berman's Tests for Point Process Model

-- C --

cauchy.estK	Fit the Neyman-Scott cluster process with Cauchy kernel
cauchy.estpcf	Fit the Neyman-Scott cluster process with Cauchy kernel
cdf.test.mppm	Spatial Distribution Test for Multiple Point Process Model
cdf.test.ppm	Spatial Distribution Test for Point Pattern or Point Process Model
cdf.test.slrm	Spatial Distribution Test for Point Pattern or Point Process Model
closepaircounts	Count Close Pairs of Points
clusterfield.kppm	Field of clusters
clusterfit	Fit Cluster or Cox Point Process Model via Minimum Contrast
clusterkernel.kppm	Extract Cluster Offspring Kernel
clusterradius.kppm	Compute or Extract Effective Range of Cluster Kernel
clusterradius.zclustermodel	Methods for Cluster Models
coef.dppm	Methods for Determinantal Point Process Models
coef.fii	Methods for Fitted Interactions
coef.kppm	Methods for Cluster Point Process Models
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
coef.summary.fii	Methods for Fitted Interactions
coef<-.fii	Methods for Fitted Interactions
compareFit	Residual Diagnostics for Multiple Fitted Models
Concom	The Connected Component Process Model
contour.leverage.ppm	Plot Leverage Function
contour.objsurf	Methods for Objective Function Surfaces
crosspaircounts	Count Close Pairs of Points

-- D --

data.ppm	Extract Original Data from a Fitted Point Process Model
detpointprocfamilyfun	Construct a New Determinantal Point Process Model Family Function
deviance.ppm	Log Likelihood and AIC for Point Process Model
deviance.slrm	Methods for Spatial Logistic Regression Models
dfbetas.ppm	Parameter Influence Measure
dfbetas.slrm	Leverage and Influence Diagnostics for Spatial Logistic Regression
dffit	Case Deletion Effect Measure of Fitted Model
dffit.ppm	Case Deletion Effect Measure of Fitted Model
dffit.slrm	Leverage and Influence Diagnostics for Spatial Logistic Regression
diagnose.ppm	Diagnostic Plots for Fitted Point Process Model
DiggleGatesStibbard	Diggle-Gates-Stibbard Point Process Model
DiggleGratton	Diggle-Gratton model
dim.detpointprocfamily	Dimension of Determinantal Point Process Model
domain.dppm	Extract the Domain of any Spatial Object
domain.influence.ppm	Methods for Influence Objects
domain.kppm	Extract the Domain of any Spatial Object
domain.leverage.ppm	Methods for Leverage Objects
domain.msr	Extract the Domain of any Spatial Object
domain.ppm	Extract the Domain of any Spatial Object
domain.slrm	Extract the Domain of any Spatial Object
dppapproxkernel	Approximate Determinantal Point Process Kernel
dppapproxpcf	Approximate Pair Correlation Function of Determinantal Point Process Model
dppBessel	Bessel Type Determinantal Point Process Model
dppCauchy	Generalized Cauchy Determinantal Point Process Model
dppeigen	Internal function calculating eig and index
dppGauss	Gaussian Determinantal Point Process Model
dppkernel	Extract Kernel from Determinantal Point Process Model Object
dppm	Fit Determinantal Point Process Model
dppMatern	Whittle-Matern Determinantal Point Process Model
dppparbounds	Parameter Bound for a Determinantal Point Process Model
dppPowerExp	Power Exponential Spectral 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

-- E --

eem	Exponential Energy Marks
eem.ppm	Exponential Energy Marks
eem.slrm	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.kppm	Simulation Envelopes of Summary Function
envelope.ppm	Simulation Envelopes of Summary Function
envelope.slrm	Simulation Envelopes of Summary Function
exactMPLEstrauss	Exact Maximum Pseudolikelihood Estimate for Stationary Strauss Process
extractAIC.dppm	Log Likelihood and AIC for Fitted Determinantal Point Process Model
extractAIC.kppm	Log Likelihood and AIC for Fitted Cox or Cluster Point Process Model
extractAIC.mppm	Log Likelihood and AIC for Multiple Point Process Model
extractAIC.ppm	Log Likelihood and AIC for Point Process Model

-- F --

Fiksel	The Fiksel Interaction
fitin	Extract the Interaction from a Fitted Point Process Model
fitin.ppm	Extract the Interaction from a Fitted Point Process Model
fitin.profilepl	Extract the Interaction from a Fitted Point Process Model
fitted.dppm	Prediction from a Fitted Determinantal Point Process Model
fitted.kppm	Prediction from a Fitted Cluster Point Process Model
fitted.mppm	Fitted Conditional Intensity for Multiple Point Process Model
fitted.ppm	Fitted Conditional Intensity for Point Process Model
fitted.rppm	Make Predictions From a Recursively Partitioned Point Process Model
fitted.slrm	Fitted Probabilities for Spatial Logistic Regression
fixef.mppm	Extract Fixed Effects from Point Process Model
formula.dppm	Methods for Determinantal Point Process Models
formula.kppm	Methods for Cluster Point Process Models
formula.ppm	Model Formulae for Gibbs Point Process Models
formula.slrm	Methods for Spatial Logistic Regression Models

-- G --

Gcom	Model Compensator of Nearest Neighbour Function
getCall.mppm	Log Likelihood and AIC for Multiple Point Process Model
Geyer	Geyer's Saturation Point Process Model
Gres	Residual G Function

-- H --

Hardcore	The Hard Core Point Process Model
hardcoredist	Extract the Hard Core Distance of a Point Process Model
hardcoredist.fii	Extract the Hard Core Distance of a Point Process Model
hardcoredist.ppm	Extract the Hard Core Distance of a Point Process Model
harmonic	Basis for Harmonic Functions
harmonise.msr	Make Measures Compatible
has.offset	Identify Covariates Involved in each Model Term
has.offset.term	Identify Covariates Involved in each Model Term
HierHard	The Hierarchical Hard Core Point Process Model
hierpair.family	Hierarchical Pairwise Interaction Process Family
HierStrauss	The Hierarchical Strauss Point Process Model
HierStraussHard	The Hierarchical Strauss Hard Core Point Process Model
Hybrid	Hybrid Interaction Point Process Model
hybrid.family	Hybrid Interaction Family

-- I --

ic	Model selection criteria for the intensity function of a point process
ic.kppm	Model selection criteria for the intensity function of a point process
ic.ppm	Model selection criteria for the intensity function of a point process
image.objsurf	Methods for Objective Function Surfaces
improve.kppm	Improve Intensity Estimate of Fitted Cluster Point Process Model
influence.ppm	Influence Measure for Spatial Point Process Model
influence.slrm	Leverage and Influence Diagnostics for Spatial Logistic Regression
inforder.family	Infinite Order Interaction Family
integral.influence.ppm	Methods for Influence Objects
integral.leverage.ppm	Methods for Leverage Objects
integral.msr	Integral of a Measure
intensity.detpointprocfamily	Intensity of Determinantal Point Process Model
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
intensity.zclustermodel	Methods for Cluster Models
intensity.zgibbsmodel	Methods for Gibbs Models
interactionorder	Determine the Order of Interpoint Interaction in a Model
interactionorder.fii	Determine the Order of Interpoint Interaction in a Model
interactionorder.interact	Determine the Order of Interpoint Interaction in a Model
interactionorder.isf	Determine the Order of Interpoint Interaction in a Model
interactionorder.ppm	Determine the Order of Interpoint Interaction in a Model
interactionorder.zgibbsmodel	Methods for Gibbs Models
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.hybrid.interact	Test Whether Object is a Hybrid
is.hybrid.ppm	Test Whether Object is a Hybrid
is.kppm	Test Whether An Object Is A Fitted Point Process Model
is.lppm	Test Whether An Object Is A Fitted Point Process Model
is.marked.ppm	Test Whether A Point Process Model is Marked
is.multitype.ppm	Test Whether A Point Process Model is Multitype
is.poisson.interact	Recognise Stationary and Poisson Point Process Models
is.poisson.kppm	Recognise Stationary and Poisson Point Process Models
is.poisson.ppm	Recognise Stationary and Poisson Point Process Models
is.poisson.slrm	Recognise Stationary and Poisson Point Process Models
is.poisson.zgibbsmodel	Methods for Gibbs Models
is.poissonclusterprocess	Recognise Poisson Cluster Process Models
is.poissonclusterprocess.default	Recognise Poisson Cluster Process Models
is.poissonclusterprocess.kppm	Recognise Poisson Cluster Process Models
is.poissonclusterprocess.zclustermodel	Recognise Poisson Cluster Process Models
is.ppm	Test Whether An Object Is A Fitted Point Process Model
is.slrm	Test Whether An Object Is A Fitted Point Process Model
is.stationary.detpointprocfamily	Recognise Stationary and Poisson Point Process Models
is.stationary.dppm	Recognise Stationary and Poisson Point Process Models
is.stationary.kppm	Recognise Stationary and Poisson Point Process Models
is.stationary.ppm	Recognise Stationary and Poisson Point Process Models
is.stationary.slrm	Recognise Stationary and Poisson Point Process Models
is.stationary.zgibbsmodel	Methods for Gibbs Models
isf.object	Interaction Structure Family Objects

-- K --

Kcom	Model Compensator of K Function
Kmodel	K Function or Pair Correlation Function of a Point Process Model
Kmodel.detpointprocfamily	K-function or Pair Correlation Function of a Determinantal 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
Kmodel.zclustermodel	Methods for Cluster Models
kppm	Fit Cluster or Cox Point Process Model
kppm.formula	Fit Cluster or Cox Point Process Model
kppm.ppp	Fit Cluster or Cox Point Process Model
kppm.quad	Fit Cluster or Cox Point Process Model
Kres	Residual K Function

-- L --

labels.dppm	Methods for Determinantal Point Process Models
labels.kppm	Methods for Cluster Point Process Models
labels.slrm	Methods for Spatial Logistic Regression Models
LambertW	Lambert's W Function
LennardJones	The Lennard-Jones Potential
leverage	Leverage Measure for Spatial Point Process Model
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
lines.traj	Methods for Trajectories of Function Evaluations
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
lurking	Lurking Variable Plot
lurking.mppm	Lurking Variable Plot for Multiple Point Patterns
lurking.ppm	Lurking Variable Plot
lurking.ppp	Lurking Variable Plot

-- M --

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
mean.leverage.ppm	Methods for Leverage Objects
measureContinuous	Discrete and Continuous Components of a Measure
measureDiscrete	Discrete and Continuous Components of a Measure
measureNegative	Positive and Negative Parts, and Variation, of a Measure
measurePositive	Positive and Negative Parts, and Variation, of a Measure
measureVariation	Positive and Negative Parts, and Variation, of a Measure
measureWeighted	Weighted Version 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.ppm	Class of Fitted Point Process Models
methods.slrm	Methods for Spatial Logistic Regression Models
methods.traj	Methods for Trajectories of Function Evaluations
methods.zclustermodel	Methods for Cluster Models
methods.zgibbsmodel	Methods for Gibbs Models
mincontrast	Method of Minimum Contrast
model.covariates	Identify Covariates Involved in each Model Term
model.depends	Identify Covariates Involved in each Model Term
model.frame.dppm	Extract the Variables in a Point Process Model
model.frame.kppm	Extract the Variables in a Point Process Model
model.frame.ppm	Extract the Variables in a Point Process Model
model.frame.slrm	Extract the Variables in a Point Process Model
model.images	Compute Images of Constructed Covariates
model.images.dppm	Compute Images of Constructed Covariates
model.images.kppm	Compute Images of Constructed Covariates
model.images.ppm	Compute Images of Constructed Covariates
model.images.slrm	Compute Images of Constructed Covariates
model.is.additive	Identify Covariates Involved in each Model Term
model.matrix.dppm	Extract Design Matrix from Point Process Model
model.matrix.ippm	Extract Design Matrix from Point Process Model
model.matrix.kppm	Extract Design Matrix from Point Process Model
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
MultiHard	The Multitype Hard Core Point Process Model
MultiStrauss	The Multitype Strauss Point Process Model
MultiStraussHard	The Multitype/Hard Core Strauss Point Process Model

-- N --

nobs.dppm	Log Likelihood and AIC for Fitted Determinantal Point Process Model
nobs.kppm	Log Likelihood and AIC for Fitted Cox or Cluster Point Process Model
nobs.mppm	Log Likelihood and AIC for Multiple Point Process Model
nobs.ppm	Log Likelihood and AIC for Point Process Model
npfun	Dummy Function Returns Number of Points

-- O --

objsurf	Objective Function Surface
objsurf.dppm	Objective Function Surface
objsurf.kppm	Objective Function Surface
objsurf.minconfit	Objective Function Surface
Ops.msr	Arithmetic Operations on Measures
Ord	Generic Ord Interaction model
ord.family	Ord Interaction Process Family
OrdThresh	Ord's Interaction model

-- P --

PairPiece	The Piecewise Constant Pairwise Interaction Point Process Model
pairsat.family	Saturated Pairwise Interaction Point Process Family
Pairwise	Generic Pairwise Interaction model
pairwise.family	Pairwise Interaction Process Family
palmdiagnose	Diagnostic based on Palm Intensity
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
panysib	Probability that a Point Has Any Siblings
parameters	Extract Model Parameters in Understandable Form
parameters.dppm	Extract Model Parameters in Understandable Form
parameters.fii	Extract Model Parameters in Understandable Form
parameters.interact	Extract Model Parameters in Understandable Form
parameters.kppm	Extract Model Parameters in Understandable Form
parameters.ppm	Extract Model Parameters in Understandable Form
parameters.profilepl	Extract Model Parameters in Understandable Form
parameters.slrm	Extract Model Parameters in Understandable Form
parres	Partial Residuals for Point Process Model
pcfmodel	K Function or Pair Correlation Function of a Point Process Model
pcfmodel.detpointprocfamily	K-function or Pair Correlation Function of a Determinantal Point Process Model
pcfmodel.dppm	K-function or Pair Correlation Function of a Determinantal Point Process Model
pcfmodel.kppm	K Function or Pair Correlation Function of Cluster Model or Cox model
pcfmodel.ppm	K Function or Pair Correlation Function of Gibbs Point Process model
pcfmodel.zclustermodel	Methods for Cluster Models
Penttinen	Penttinen Interaction
persp.leverage.ppm	Plot Leverage Function
persp.objsurf	Methods for Objective Function Surfaces
plot.diagppm	Diagnostic Plots for Fitted Point Process Model
plot.dppm	Plot a fitted determinantal point process
plot.fii	Methods for Fitted Interactions
plot.influence.ppm	Plot Influence Measure
plot.kppm	Plot a fitted cluster point process
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.objsurf	Methods for Objective Function Surfaces
plot.palmdiag	Plot the Palm Intensity Diagnostic
plot.plotppm	Plot a plotppm Object Created by plot.ppm
plot.ppm	plot a Fitted Point Process Model
plot.profilepl	Plot Profile Likelihood
plot.rppm	Plot a Recursively Partitioned Point Process Model
plot.slrm	Plot a Fitted Spatial Logistic Regression
plot.traj	Methods for Trajectories of Function Evaluations
Poisson	Poisson Point Process Model
polynom	Polynomial in One or Two Variables
ppm	Fit Point Process Model to Data
ppm.formula	Fit Point Process Model to Data
ppm.object	Class of Fitted Point Process Models
ppm.ppp	Fit Point Process Model to Point Pattern Data
ppm.quad	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
predict.zclustermodel	Methods for Cluster Models
print.dppm	Methods for Determinantal Point Process Models
print.fii	Methods for Fitted Interactions
print.kppm	Methods for Cluster Point Process Models
print.objsurf	Methods for Objective Function Surfaces
print.ppm	Print a Fitted Point Process Model
print.slrm	Methods for Spatial Logistic Regression Models
print.summary.dppm	Summarizing a Fitted Determinantal Point Process Model
print.summary.fii	Methods for Fitted Interactions
print.summary.kppm	Summarizing a Fitted Cox or Cluster Point Process Model
print.summary.objsurf	Methods for Objective Function Surfaces
print.summary.ppm	Summarizing a Fitted Point Process Model
print.traj	Methods for Trajectories of Function Evaluations
print.zclustermodel	Methods for Cluster Models
print.zgibbsmodel	Methods for Gibbs Models
profilepl	Fit Models by Profile Maximum Pseudolikelihood or AIC
project.ppm	Force Point Process Model to be Valid
prune.rppm	Prune a Recursively Partitioned Point Process Model
pseudoR2	Calculate Pseudo-R-Squared for Point Process Model
pseudoR2.ppm	Calculate Pseudo-R-Squared for Point Process Model
pseudoR2.slrm	Calculate Pseudo-R-Squared for Point Process Model
psib	Sibling Probability of Cluster Point Process
psib.kppm	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

-- Q --

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.mppm	Chi-Squared Test for Multiple Point Process Model Based on Quadrat Counts
quadrat.test.ppm	Dispersion Test for Spatial Point Pattern Based on Quadrat Counts
quadrat.test.slrm	Dispersion Test for Spatial Point Pattern Based on Quadrat Counts

-- R --

ranef.mppm	Extract Random Effects from Point Process Model
rdpp	Simulation of a Determinantal Point Process
reach.detpointprocfamily	Range of Interaction for a Determinantal Point Process Model
reach.dppm	Range of Interaction for a Determinantal Point Process Model
reach.fii	Interaction Distance of a Point Process Model
reach.interact	Interaction Distance of a Point Process Model
reach.kppm	Range of Interaction for a Cox or Cluster Point Process Model
reach.ppm	Interaction Distance of a Point Process Model
reach.zclustermodel	Methods for Cluster Models
relrisk.ppm	Parametric Estimate of Spatially-Varying Relative Risk
repul	Repulsiveness Index of a Determinantal Point Process Model
repul.dppm	Repulsiveness Index of a Determinantal Point Process Model
residualMeasure	Residual Measure for an Observed Point Pattern and a Fitted Intensity
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.rppm	Residuals for Recursively Partitioned Point Process Model
residuals.slrm	Residuals for Fitted Spatial Logistic Regression Model
response	Extract the Values of the Response from a Fitted Model
response.dppm	Extract the Values of the Response from a Fitted Model
response.glm	Extract the Values of the Response from a Fitted Model
response.kppm	Extract the Values of the Response from a Fitted Model
response.lm	Extract the Values of the Response from a Fitted Model
response.mppm	Extract the Values of the Response from a Fitted Model
response.ppm	Extract the Values of the Response from a Fitted Model
response.rppm	Extract the Values of the Response from a Fitted Model
response.slrm	Extract the Values of the Response from a Fitted Model
rex	Richardson Extrapolation
rhohat.ppm	Nonparametric Estimate of Intensity as Function of a Covariate
rhohat.slrm	Nonparametric Estimate of Intensity as Function of a Covariate
rmh.ppm	Simulate from a Fitted Point Process Model
rmhmodel.ppm	Interpret Fitted Model for Metropolis-Hastings Simulation.
roc.kppm	Receiver Operating Characteristic
roc.ppm	Receiver Operating Characteristic
roc.slrm	Receiver Operating Characteristic
rppm	Recursively Partitioned Point Process Model

-- S --

SatPiece	Piecewise Constant Saturated Pairwise Interaction Point Process Model
Saturated	Saturated Pairwise Interaction model
simulate.detpointprocfamily	Simulation of Determinantal Point Process Model
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
Smooth.influence.ppm	Methods for Influence Objects
Smooth.leverage.ppm	Methods for Leverage Objects
Smooth.msr	Smooth a Signed or Vector-Valued Measure
Softcore	The Soft Core Point Process Model
spatstat.model	The spatstat.model Package
split.msr	Divide a Measure into Parts
Strauss	The Strauss Point Process Model
StraussHard	The Strauss / Hard Core Point Process Model
subfits	Extract List of Individual Point Process Models
subfits.new	Extract List of Individual Point Process Models
subfits.old	Extract List of Individual Point Process Models
suffstat	Sufficient Statistic of Point Process Model
summary.dppm	Summarizing a Fitted Determinantal Point Process Model
summary.fii	Methods for Fitted Interactions
summary.kppm	Summarizing a Fitted Cox or Cluster Point Process Model
summary.objsurf	Methods for Objective Function Surfaces
summary.ppm	Summarizing a Fitted Point Process Model
summary.slrm	Methods for Spatial Logistic Regression Models

-- T --

terms.dppm	Methods for Determinantal Point Process Models
terms.kppm	Methods for Cluster Point Process Models
terms.mppm	Log Likelihood and AIC for Multiple Point Process Model
terms.ppm	Model Formulae for Gibbs Point Process Models
terms.slrm	Methods for Spatial Logistic Regression Models
thomas.estK	Fit the Thomas Point Process by Minimum Contrast
thomas.estpcf	Fit the Thomas Point Process by Minimum Contrast
totalVariation	Positive and Negative Parts, and Variation, of a Measure
traj	Extract trajectory of function evaluations
triplet.family	Triplet Interaction Family
Triplets	The Triplet Point Process Model

-- U --

unitname.dppm	Name for Unit of Length
unitname.kppm	Name for Unit of Length
unitname.minconfit	Name for Unit of Length
unitname.ppm	Name for Unit of Length
unitname.slrm	Name for Unit of Length
unitname<-.dppm	Name for Unit of Length
unitname<-.kppm	Name for Unit of Length
unitname<-.minconfit	Name for Unit of Length
unitname<-.ppm	Name for Unit of Length
unitname<-.slrm	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.dppm	Update a Fitted 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.rppm	Update a Recursively Partitioned Point Process Model
update.slrm	Methods for Spatial Logistic Regression Models

-- V --

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
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

-- W --

Window.dppm	Extract Window of Spatial Object
Window.influence.ppm	Methods for Influence Objects
Window.kppm	Extract Window of Spatial Object
Window.leverage.ppm	Methods for Leverage Objects
Window.msr	Extract Window of Spatial Object
Window.ppm	Extract Window of Spatial Object
Window.slrm	Extract Window of Spatial Object
with.msr	Evaluate Expression Involving Components of a Measure

-- Z --

zclustermodel	Cluster Point Process Model
zgibbsmodel	Gibbs Model

-- misc --

[.influence.ppm	Extract Subset of Influence Object
[.leverage.ppm	Extract Subset of Leverage Object
[.msr	Extract Subset of Signed or Vector Measure