Package: markstat 0.1.5

markstat: Mark Correlation Functions for Spatial Point Patterns

Provides a range of functions for computing both global and local mark correlation functions for spatial point patterns in either Euclidean spaces or on linear networks, with points carrying either real-valued or function-valued marks. For a review of mark correlation functions, see Eckardt and Moradi (2024) <doi:10.1007/s13253-024-00605-1>.

Authors:Mehdi Moradi [aut, cre], Matthias Eckardt [aut]

markstat_0.1.5.tar.gz
markstat_0.1.5.zip(r-4.7-any)markstat_0.1.5.zip(r-4.6-any)markstat_0.1.5.zip(r-4.5-any)
markstat_0.1.5.tgz(r-4.6-any)markstat_0.1.5.tgz(r-4.5-any)
markstat_0.1.5.tar.gz(r-4.7-any)markstat_0.1.5.tar.gz(r-4.6-any)
markstat_0.1.5.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
markstat/json (API)

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

Bug tracker:https://github.com/moradii/markstat/issues

Datasets:
  • Pfynwald - Scots pine trees in Pfynwald, Switzerland.

On CRAN:

Conda:

3.40 score 1 stars 237 downloads 13 exports 52 dependencies

Last updated from:e49822adec. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK158
source / vignettesOK303
linux-releaseOK147
macos-releaseOK116
macos-oldrelOK120
windows-develOK114
windows-releaseOK126
windows-oldrelOK102
wasm-releaseOK100

Exports:fmcorrfmcorrinhomlfmcorrlfmcorrinhomlmcorr.lpplmcorr.ppplmcorrinhom.lpplmcorrinhom.pppmcorr.lppmcorr.pppmcorrinhom.lppmcorrinhom.ppptestmc

Dependencies:abindcliclustercpp11deldirdplyrfarvergenericsGETggplot2gluegoftestgridExtragtableisobandlabelinglatticelifecyclemagrittrMatrixmgcvnlmepatchworkpillarpkgconfigpolyclippurrrR6RColorBrewerrlangrpartS7scalesspatstat.dataspatstat.explorespatstat.geomspatstat.linnetspatstat.modelspatstat.randomspatstat.sparsespatstat.univarspatstat.utilsstringistringrtensortibbletidyrtidyselectutf8vctrsviridisLitewithr