spatstat.Knet: Extension to 'spatstat' for Large Datasets on a Linear Network

Extension to the 'spatstat' family of packages, for analysing large datasets of spatial points on a network. The geometrically- corrected K function is computed using a memory-efficient tree-based algorithm described by Rakshit, Baddeley and Nair (2019).

Version: 3.0-2
Depends: R (≥ 3.5.0), spatstat.data (≥ 3.0), spatstat.sparse (≥ 3.0), spatstat.geom (≥ 3.0), spatstat.random (≥ 3.0), spatstat.explore, spatstat.model, spatstat.linnet (≥ 3.0), spatstat (≥ 3.0)
Imports: spatstat.utils (≥ 3.0), Matrix
Published: 2022-11-13
Author: Suman Rakshit ORCID iD [aut, cph], Adrian Baddeley ORCID iD [cre, cph]
Maintainer: Adrian Baddeley <Adrian.Baddeley at curtin.edu.au>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Citation: spatstat.Knet citation info
Materials: NEWS
CRAN checks: spatstat.Knet results

Documentation:

Reference manual: spatstat.Knet.pdf

Downloads:

Package source: spatstat.Knet_3.0-2.tar.gz
Windows binaries: r-devel: spatstat.Knet_3.0-2.zip, r-release: spatstat.Knet_2.0-1.zip, r-oldrel: spatstat.Knet_3.0-2.zip
macOS binaries: r-release (arm64): spatstat.Knet_3.0-2.tgz, r-oldrel (arm64): spatstat.Knet_3.0-2.tgz, r-release (x86_64): spatstat.Knet_3.0-2.tgz, r-oldrel (x86_64): spatstat.Knet_3.0-2.tgz
Old sources: spatstat.Knet archive

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