Package: SepTest 0.0.1

Mohammad Ghorbani

SepTest: Tests for First-Order Separability in Spatio-Temporal Point Processes

Provides statistical tools for testing first-order separability in spatio-temporal point processes, that is, whether the spatio-temporal intensity function can be expressed as a product of spatial and temporal components. The package implements several hypothesis tests, including exact and asymptotic methods for Poisson and non-Poisson processes. Methods include global envelope tests, chi-squared-type statistics, and a novel Hilbert-Schmidt independence criterion (HSIC) test with block or pure permutations. Simulation studies and real-world examples, including the 2001 UK foot-and-mouth disease outbreak data, illustrate its utility. The package encompasses all simulation studies and applications presented in Ghorbani et al. (2021, 2025).

Authors:Mohammad Ghorbani [author, creator], Nafiseh Vafaei [author]

SepTest_0.0.1.tar.gz
SepTest_0.0.1.zip(r-4.7)SepTest_0.0.1.zip(r-4.6)SepTest_0.0.1.zip(r-4.5)
SepTest_0.0.1.tgz(r-4.6-any)SepTest_0.0.1.tgz(r-4.5-any)
SepTest_0.0.1.tar.gz(r-4.7-any)SepTest_0.0.1.tar.gz(r-4.6-any)
SepTest_0.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
SepTest/json (API)

# Install 'SepTest' in R:
install.packages('SepTest', repos = c('https://mghorbani01.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/mghorbani01/septest/issues

On CRAN:

Conda:

2.70 score 1 stars 94 downloads 25 exports 55 dependencies

Last updated from:5f2b4a79ec. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK181
source / vignettesOK197
linux-release-x86_64OK188
macos-release-arm64OK183
macos-oldrel-arm64OK168
windows-develOK184
windows-releaseOK118
windows-oldrelOK127
wasm-releaseOK151

Exports:block.permutcalc.bandwidths.and.edgecorrcheck.argschi2.testchisq.test.stPPdHS.testestimate.intensity.pixelestimate.intensity.pointestimate.st.intensityGauss.st.Fget.lambda.functionget.lambda.maxglobal.envelope.testnorm2dnorm3dplot_proceduresplot_stDPPplot_stlgcpplot_stpprandom.shiftrstDPPrstLGCPPrstpoisppS.based.functionssim.procedures

Dependencies:abindcliclustercombinatcpp11deldirdHSICdotCall64farverfieldsGETggplot2gluegoftestgridExtragtableisobandlabelinglatticelifecyclemagrittrmapsMASSMatrixmgcvnlmepatchworkplyrpolyclipR6RColorBrewerRcppreshape2rlangrpartS7scalesscatterplot3dspspamspatstat.dataspatstat.explorespatstat.geomspatstat.modelspatstat.randomspatstat.sparsespatstat.univarspatstat.utilssplancsstringistringrtensorvctrsviridisLitewithr

Readme and manuals

Help Manual

Help pageTopics
Block permutation of the temporal component in a spatio-temporal point patternblock.permut
Compute bandwidths and (Gaussian) edge-correction factors for spatio-temporal kernel intensity estimationcalc.bandwidths.and.edgecorr
Validate common arguments for spatio-temporal grid-based routinescheck.args
Chi-squared test for first-order separability of a spatio-temporal point processchi2.test
Chi-squared test for first-order separability of a spatio-temporal point processchisq.test.stPP
dHSIC test for first-order separability of a spatio-temporal point processdHS.test
Kernel-based intensity estimation on a space-time grid and its components, and test statistics for first-order separabilityestimate.intensity.pixel
Kernel intensity estimates of a spatio-temporal point process at observed points and its components, and test statistics for first-order separabilityestimate.intensity.point
Kernel Estimation of the Spatio-Temporal Intensity Function and Its Components, and Test Statistics for First-Order Separabilityestimate.st.intensity
Simulate a spatio-temporal Gaussian random field on a regular gridGauss.st.F
Construct spatio-temporal intensity functions with controlled separabilityget.lambda.function
Upper bound for spatio-temporal intensity modelsget.lambda.max
Global envelope test for spatio-temporal separability using S-functionglobal.envelope.test
Bivariate normal density with independent componentsnorm2d
Trivariate normal density with independent components in space-timenorm3d
Plot original vs permuted time orderingplot_procedures
Plot spatio-temporal determinantal point process (DPP) realizationsplot_stDPP
Plot spatio-temporal log-Gaussian Cox process (LGCP) realizations as time-sliced mapsplot_stlgcp
Plot a spatio-temporal point patternplot_stpp
Apply a circular random shift to the temporal component of a spatio-temporal point patternrandom.shift
Simulate a spatio-temporal Determinantal Point Process (DPP) based on spectral densityrstDPP
Simulate a spatio-temporal Log-Gaussian Cox process (LGCP)rstLGCPP
Simulate an inhomogeneous spatio-temporal Poisson point processrstpoispp
Compute S-based test function for testing the null hypothesis of first-order separabilityS.based.functions
Generate permuted versions (pure or block) of a spatio-temporal point patternsim.procedures