A B C D E F H I J L M N O P Q R S T U V W misc
| spatstat.linnet-package | The spatstat.linnet Package |
| addVertices | Add New Vertices to a Linear Network |
| affine.linim | Methods for Images on a Linear Network |
| affine.linnet | Apply Geometrical Transformations to a Linear Network |
| affine.lpp | Apply Geometrical Transformations to Point Pattern on a Linear Network |
| anova.lppm | ANOVA for Fitted Point Process Models on Linear Network |
| as.data.frame.linfun | Methods for Functions on Linear Network |
| as.data.frame.linim | Methods for Images on a Linear Network |
| as.data.frame.lintess | Convert Network Tessellation to Data Frame |
| as.function.linfun | Methods for Functions on Linear Network |
| as.im.linim | Methods for Images on a Linear Network |
| as.linfun | Convert Data to a Function on a Linear Network |
| as.linfun.linim | Convert Data to a Function on a Linear Network |
| as.linfun.lintess | Convert Data to a Function on a Linear Network |
| as.linim | Convert to Pixel Image on Linear Network |
| as.linim.default | Convert to Pixel Image on Linear Network |
| as.linim.linfun | Convert to Pixel Image on Linear Network |
| as.linim.linim | Convert to Pixel Image on Linear Network |
| as.linnet | Methods for Linear Networks |
| as.linnet.linfun | Extract Linear Network from Data on a Linear Network |
| as.linnet.linim | Extract Linear Network from Data on a Linear Network |
| as.linnet.linnet | Methods for Linear Networks |
| as.linnet.lintess | Extract Linear Network from Data on a Linear Network |
| as.linnet.lpp | Extract Linear Network from Data on a Linear Network |
| as.linnet.lppm | Methods for Fitted Point Process Models on a Linear Network |
| as.linnet.psp | Convert Line Segment Pattern to Linear Network |
| as.lpp | Convert Data to a Point Pattern on a Linear Network |
| as.owin.linfun | Methods for Functions on Linear Network |
| as.owin.linnet | Methods for Linear Networks |
| as.owin.lpp | Convert Data on a Network to class owin |
| as.owin.lppm | Convert Data on a Network to class owin |
| as.ppp.lpp | Methods for Point Patterns on a Linear Network |
| as.psp.linnet | Methods for Linear Networks |
| as.psp.lpp | Methods for Point Patterns on a Linear Network |
| auc.lpp | Area Under ROC Curve for Data on a Network |
| auc.lppm | Area Under ROC Curve for Data on a Network |
| begins | Check Start of Character String |
| berman.test.lpp | Berman's Tests for Point Process Model on a Network |
| berman.test.lppm | Berman's Tests for Point Process Model on a Network |
| boundingradius.linnet | Diameter and Bounding Radius of a Linear Network |
| branchlabelfun | Tree Branch Membership Labelling Function |
| bw.lppl | Likelihood Cross Validation Bandwidth Selection for Kernel Density on a Linear Network |
| bw.relrisklpp | Cross Validated Bandwidth Selection for Relative Risk Estimation on a Network |
| bw.voronoi | Cross Validated Bandwidth Selection for Voronoi Estimator of Intensity on a Network |
| cdf.test.lpp | Spatial Distribution Test for Points on a Linear Network |
| cdf.test.lppm | Spatial Distribution Test for Points on a Linear Network |
| chop.linnet | Divide a Linear Network into Tiles Using Infinite Lines |
| clickjoin | Interactively join vertices on a plot |
| clicklpp | Interactively Add Points on a Linear Network |
| coef.lppm | Methods for Fitted Point Process Models on a Linear Network |
| Complex.linim | S3 Group Generic Methods for Images on a Linear Network |
| connected.linnet | Connected Components of a Linear Network |
| connected.lpp | Connected Components of a Point Pattern on a Linear Network |
| countends | Compute Disc of Given Radius in Linear Network |
| crossdist.lpp | Pairwise distances between two point patterns on a linear network |
| crossing.linnet | Crossing Points between Linear Network and Other Lines |
| cut.lpp | Classify Points in a Point Pattern on a Network |
| data.lppm | Extract Original Data from a Fitted Point Process Model on a Network |
| delaunayNetwork | Linear Network of Delaunay Triangulation or Dirichlet Tessellation |
| deletebranch | Delete or Extract a Branch of a Tree |
| deletebranch.linnet | Delete or Extract a Branch of a Tree |
| deletebranch.lpp | Delete or Extract a Branch of a Tree |
| density.linnet | Kernel Smoothing of Linear Network |
| density.lpp | Kernel Estimate of Intensity on a Linear Network |
| density.splitppx | Kernel Estimate of Intensity on a Linear Network |
| densityEqualSplit | Equal-Split Algorithm for Kernel Density on a Network |
| densityfun.lpp | Kernel Estimate of Intensity on a Linear Network as a Spatial Function |
| densityHeat.lpp | Kernel Density on a Network using Heat Equation |
| densityQuick.lpp | Kernel Estimation of Intensity on a Network using a 2D Kernel |
| densityVoronoi.lpp | Intensity Estimate of Point Pattern on Linear Network Using Voronoi-Dirichlet Tessellation |
| deviance.lppm | Methods for Fitted Point Process Models on a Linear Network |
| diameter.linnet | Diameter and Bounding Radius of a Linear Network |
| dirichletNetwork | Linear Network of Delaunay Triangulation or Dirichlet Tessellation |
| distfun.lpp | Distance Map on Linear Network |
| divide.linnet | Divide Linear Network at Cut Points |
| domain.linfun | Extract the Linear Network on which Spatial Data are Defined |
| domain.lintess | Extract the Linear Network on which Spatial Data are Defined |
| domain.lpp | Extract the Linear Network on which Spatial Data are Defined |
| domain.lppm | Extract the Linear Network on which Spatial Data are Defined |
| emend.lppm | Methods for Fitted Point Process Models on a Linear Network |
| envelope.lpp | Envelope for Point Patterns on Linear Network |
| envelope.lppm | Envelope for Point Patterns on Linear Network |
| eval.linim | Evaluate Expression Involving Pixel Images on Linear Network |
| extractAIC.lppm | Methods for Fitted Point Process Models on a Linear Network |
| extractbranch | Delete or Extract a Branch of a Tree |
| extractbranch.linnet | Delete or Extract a Branch of a Tree |
| extractbranch.lpp | Delete or Extract a Branch of a Tree |
| fitted.lppm | Fitted Intensity for Point Process on Linear Network |
| formula.lppm | Methods for Fitted Point Process Models on a Linear Network |
| heatkernelapprox | Approximation to Heat Kernel on Linear Network at Source Point |
| identify.lpp | Identify Points in a Point Pattern on a Linear Network |
| insertVertices | Insert New Vertices in a Linear Network |
| integral.linfun | Integral on a Linear Network |
| integral.linim | Integral on a Linear Network |
| intensity.lpp | Empirical Intensity of Point Pattern on Linear Network |
| intersect.lintess | Intersection of Tessellations on a Linear Network |
| is.connected.linnet | Determine Whether a Linear Network is Connected |
| is.marked.lppm | Test Whether A Point Process Model is Marked |
| is.multitype.lpp | Test Whether A Point Pattern on a Network is Multitype |
| is.multitype.lppm | Test Whether A Point Process Model is Multitype |
| is.poisson.lppm | Recognise Stationary and Poisson Point Process Models on a Network |
| is.stationary.lppm | Recognise Stationary and Poisson Point Process Models on a Network |
| joinVertices | Join Vertices in a Network |
| lineardirichlet | Dirichlet Tessellation on a Linear Network |
| lineardisc | Compute Disc of Given Radius in Linear Network |
| linearK | Linear K Function |
| linearKcross | Multitype K Function (Cross-type) for Linear Point Pattern |
| linearKcross.inhom | Inhomogeneous multitype K Function (Cross-type) for Linear Point Pattern |
| linearKdot | Multitype K Function (Dot-type) for Linear Point Pattern |
| linearKdot.inhom | Inhomogeneous multitype K Function (Dot-type) for Linear Point Pattern |
| linearKinhom | Inhomogeneous Linear K Function |
| linearmarkconnect | Mark Connection Function for Multitype Point Pattern on Linear Network |
| linearmarkequal | Mark Connection Function for Multitype Point Pattern on Linear Network |
| linearpcf | Linear Pair Correlation Function |
| linearpcfcross | Multitype Pair Correlation Function (Cross-type) for Linear Point Pattern |
| linearpcfcross.inhom | Inhomogeneous Multitype Pair Correlation Function (Cross-type) for Linear Point Pattern |
| linearpcfdot | Multitype Pair Correlation Function (Dot-type) for Linear Point Pattern |
| linearpcfdot.inhom | Inhomogeneous Multitype Pair Correlation Function (Dot-type) for Linear Point Pattern |
| linearpcfinhom | Inhomogeneous Linear Pair Correlation Function |
| lineartileindex | Determine Which Tile Contains Each Given Point on a Linear Network |
| linequad | Quadrature Scheme on a Linear Network |
| linfun | Function on a Linear Network |
| linim | Create Pixel Image on Linear Network |
| linnet | Create a Linear Network |
| lintess | Tessellation on a Linear Network |
| lixellate | Subdivide Segments of a Network |
| logLik.lppm | Methods for Fitted Point Process Models on a Linear Network |
| lpp | Create Point Pattern on Linear Network |
| lppm | Fit Point Process Model to Point Pattern on Linear Network |
| lppm.formula | Fit Point Process Model to Point Pattern on Linear Network |
| lppm.lpp | Fit Point Process Model to Point Pattern on Linear Network |
| marks.lintess | Marks of a Tessellation on a Network |
| marks<-.lintess | Marks of a Tessellation on a Network |
| marks<-.lpp | Methods for Point Patterns on a Linear Network |
| Math.linim | S3 Group Generic Methods for Images on a Linear Network |
| mean.linim | Mean, Median, Quantiles of Pixel Values on a Linear Network |
| median.linim | Mean, Median, Quantiles of Pixel Values on a Linear Network |
| methods.linfun | Methods for Functions on Linear Network |
| methods.linim | Methods for Images on a Linear Network |
| methods.linnet | Methods for Linear Networks |
| methods.lpp | Methods for Point Patterns on a Linear Network |
| methods.lppm | Methods for Fitted Point Process Models on a Linear Network |
| model.frame.lppm | Extract the Variables in a Point Process Model on a Network |
| model.images.lppm | Compute Images of Constructed Covariates |
| model.matrix.lppm | Extract Design Matrix from Point Process Model on a Network |
| nncross.lpp | Nearest Neighbours on a Linear Network |
| nndist.lpp | Nearest neighbour distances on a linear network |
| nnfromvertex | Nearest Data Point From Each Vertex in a Network |
| nnfun.lpp | Nearest Neighbour Map on Linear Network |
| nnwhich.lpp | Identify Nearest Neighbours on a Linear Network |
| nobs.lppm | Methods for Fitted Point Process Models on a Linear Network |
| nsegments.linnet | Methods for Linear Networks |
| nsegments.lpp | Methods for Point Patterns on a Linear Network |
| nvertices.linnet | Methods for Linear Networks |
| Ops.linim | S3 Group Generic Methods for Images on a Linear Network |
| pairdist.lpp | Pairwise shortest-path distances between points on a linear network |
| pairs.linim | Scatterplot Matrix for Pixel Images on a Linear Network |
| persp.linfun | Perspective View of Function on a Linear Network |
| persp.linim | Perspective View of Pixel Image on a Linear Network |
| pixellate.linnet | Methods for Linear Networks |
| plot.linfun | Methods for Functions on Linear Network |
| plot.linim | Plot Pixel Image on Linear Network |
| plot.linnet | Plot a linear network |
| plot.lintess | Plot a Tessellation on a Linear Network |
| plot.lpp | Plot Point Pattern on Linear Network |
| plot.lppm | Plot a Fitted Point Process Model on a Linear Network |
| points.lpp | Draw Points on Existing Plot |
| predict.lppm | Predict Point Process Model on Linear Network |
| print.linfun | Methods for Functions on Linear Network |
| print.linim | Methods for Images on a Linear Network |
| print.linnet | Methods for Linear Networks |
| print.lpp | Methods for Point Patterns on a Linear Network |
| print.lppm | Methods for Fitted Point Process Models on a Linear Network |
| print.summary.lpp | Methods for Point Patterns on a Linear Network |
| pseudoR2.lppm | Calculate Pseudo-R-Squared for Point Process Model on Linear Network |
| quantile.linim | Mean, Median, Quantiles of Pixel Values on a Linear Network |
| rcelllpp | Simulate Cell Process on Linear Network |
| relrisk.lpp | Nonparametric Estimate of Spatially-Varying Relative Risk on a Network |
| repairNetwork | Repair Internal Data in a Linear Network |
| rescale.linnet | Apply Geometrical Transformations to a Linear Network |
| rescale.lpp | Apply Geometrical Transformations to Point Pattern on a Linear Network |
| response.lppm | Methods for Fitted Point Process Models on a Linear Network |
| rhohat.lpp | Nonparametric Estimate of Intensity as Function of a Covariate |
| rhohat.lppm | Nonparametric Estimate of Intensity as Function of a Covariate |
| rjitter.lpp | Random Perturbation of a Point Pattern on a Network |
| rlpp | Random Points on a Linear Network |
| roc.lpp | Receiver Operating Characteristic for Data on a Network |
| roc.lppm | Receiver Operating Characteristic for Data on a Network |
| rotate.linnet | Apply Geometrical Transformations to a Linear Network |
| rotate.lpp | Apply Geometrical Transformations to Point Pattern on a Linear Network |
| rpoislpp | Poisson Point Process on a Linear Network |
| rSwitzerlpp | Switzer-type Point Process on Linear Network |
| runiflpp | Uniform Random Points on a Linear Network |
| scalardilate.linim | Methods for Images on a Linear Network |
| scalardilate.linnet | Apply Geometrical Transformations to a Linear Network |
| scalardilate.lpp | Apply Geometrical Transformations to Point Pattern on a Linear Network |
| sdr.lpp | Sufficient Dimension Reduction for a Point Pattern on a Linear Network |
| shift.linim | Methods for Images on a Linear Network |
| shift.linnet | Apply Geometrical Transformations to a Linear Network |
| shift.lpp | Apply Geometrical Transformations to Point Pattern on a Linear Network |
| simulate.lppm | Simulate a Fitted Point Process Model on a Linear Network |
| spatstat.linnet | The spatstat.linnet Package |
| subset.lpp | Subset of Point Pattern Satisfying A Condition |
| summary.linfun | Methods for Functions on Linear Network |
| Summary.linim | S3 Group Generic Methods for Images on a Linear Network |
| summary.linim | Methods for Images on a Linear Network |
| summary.linnet | Methods for Linear Networks |
| summary.lpp | Methods for Point Patterns on a Linear Network |
| summary.lppm | Methods for Fitted Point Process Models on a Linear Network |
| superimpose.lpp | Superimpose Several Point Patterns on Linear Network |
| terms.lppm | Methods for Fitted Point Process Models on a Linear Network |
| text.lpp | Add Text Labels to Point Pattern on a Network |
| thinNetwork | Remove Vertices or Segments from a Linear Network |
| tile.lengths | Compute Lengths of Tiles in a Tessellation on a Network |
| tilenames.lintess | Names of Tiles in a Tessellation on a Network |
| tilenames<-.lintess | Names of Tiles in a Tessellation on a Network |
| treebranchlabels | Label Vertices of a Tree by Branch Membership |
| treeprune | Prune Tree to Given Level |
| unitname.linnet | Methods for Linear Networks |
| unitname.lpp | Methods for Point Patterns on a Linear Network |
| unitname<-.linnet | Methods for Linear Networks |
| unitname<-.lpp | Methods for Point Patterns on a Linear Network |
| unmark.lintess | Marks of a Tessellation on a Network |
| unmark.lpp | Methods for Point Patterns on a Linear Network |
| unstack.lintess | Separate Multiple Columns of Marks |
| unstack.lpp | Separate Multiple Columns of Marks |
| update.lppm | Methods for Fitted Point Process Models on a Linear Network |
| valid.lppm | Methods for Fitted Point Process Models on a Linear Network |
| vcov.lppm | Methods for Fitted Point Process Models on a Linear Network |
| vertexdegree | Methods for Linear Networks |
| vertices.linnet | Methods for Linear Networks |
| volume.linnet | Methods for Linear Networks |
| Window.linnet | Methods for Linear Networks |
| Window.lpp | Extract Window of Spatial Object on a Network |
| Window.lppm | Extract Window of Spatial Object on a Network |
| [.linim | Extract Subset of Pixel Image on Linear Network |
| [.linnet | Extract Subset of Linear Network |
| [.lpp | Extract Subset of Point Pattern on Linear Network |
| [<-.linim | Reset Values in Subset of Image on Linear Network |