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spatstat.univar: One-Dimensional Probability Distribution Support for the 'spatstat' Family

Estimation of one-dimensional probability distributions including kernel density estimation, weighted empirical cumulative distribution functions, Kaplan-Meier and reduced-sample estimators for right-censored data, heat kernels, kernel properties, quantiles and integration.

Version: 3.1-1
Depends: R (≥ 3.5.0), stats
Imports: spatstat.utils (≥ 3.1-1)
Published: 2024-11-05
DOI: 10.32614/CRAN.package.spatstat.univar
Author: Adrian Baddeley ORCID iD [aut, cre, cph], Tilman M. Davies ORCID iD [aut, ctb, cph], Martin L. Hazelton ORCID iD [aut, ctb, cph], Ege Rubak ORCID iD [aut, cph], Rolf Turner ORCID iD [aut, cph], Greg McSwiggan [ctb, cph]
Maintainer: Adrian Baddeley <Adrian.Baddeley at curtin.edu.au>
BugReports: https://github.com/spatstat/spatstat.univar/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: http://spatstat.org/
NeedsCompilation: yes
Citation: spatstat.univar citation info
Materials: NEWS
CRAN checks: spatstat.univar results

Documentation:

Reference manual: spatstat.univar.pdf

Downloads:

Package source: spatstat.univar_3.1-1.tar.gz
Windows binaries: r-devel: spatstat.univar_3.1-1.zip, r-release: spatstat.univar_3.1-1.zip, r-oldrel: spatstat.univar_3.1-1.zip
macOS binaries: r-release (arm64): spatstat.univar_3.1-1.tgz, r-oldrel (arm64): spatstat.univar_3.1-1.tgz, r-release (x86_64): spatstat.univar_3.1-1.tgz, r-oldrel (x86_64): spatstat.univar_3.1-1.tgz
Old sources: spatstat.univar archive

Reverse dependencies:

Reverse depends: spatstat, spatstat.explore, spatstat.geom, spatstat.gui, spatstat.Knet, spatstat.linnet, spatstat.local, spatstat.model, spatstat.random
Reverse imports: affluenceIndex, Ecume, funcharts, geocausal, globalKinhom, kernstadapt, lqr, NTSS, ROCnReg, sbw, sparr, spatialTIME, spillR, stlnpp, stopp, stpp, tectonicr, zippeR

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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