Extension to 'spatstat' for Large Datasets on a Linear Network R package spatstat.Knet version 3.1-3 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). Software Depends: R (>= 3.5.0), spatstat.data (>= 3.1-9), spatstat.sparse (>= 3.1-0), spatstat.univar (>= 3.2-0), spatstat.geom (>= 3.7-3), spatstat.random (>= 3.4-5), spatstat.explore (>= 3.8-0), spatstat.model (>= 3.7-0), spatstat.linnet (>= 3.5-0), spatstat (>= 3.6-0) Imports: spatstat.utils (>= 3.2-3), Matrix Adrian Baddeley <Adrian.Baddeley@curtin.edu.au> Comprehensive R Archive Network (CRAN) Suman Rakshit [aut, cph] (ORCID: <https://orcid.org/0000-0003-0052-128X>), Adrian Baddeley [cre, cph] (ORCID: <https://orcid.org/0000-0001-9499-8382>) GPL (>= 2) 2026-05-22 application/tgz https://CRAN.R-project.org/package=spatstat.Knet doi:10.32614/CRAN.package.spatstat.Knet