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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 
[aut, cph],
Adrian Baddeley
[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:
Downloads:
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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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