stopp: Spatio-Temporal Point Pattern Methods, Model Fitting,Diagnostics, Simulation, Local Tests
Toolbox for different kinds of spatio-temporal analyses to be performed on observed point patterns, following the growing stream of literature on point process theory. This R package implements functions to perform different kinds of analyses on point processes, proposed in the papers (Siino, Adelfio, and Mateu 2018<doi:10.1007/s00477-018-1579-0>; Siino et al. 2018<doi:10.1002/env.2463>; Adelfio et al. 2020<doi:10.1007/s00477-019-01748-1>; D’Angelo, Adelfio, and Mateu 2021<doi:10.1016/j.spasta.2021.100534>; D’Angelo, Adelfio, and Mateu 2022<doi:10.1007/s00362-022-01338-4>; D’Angelo, Adelfio, and Mateu 2023<doi:10.1016/j.csda.2022.107679>). The main topics include modeling, statistical inference, and simulation issues on spatio-temporal point processes on Euclidean space and linear networks. Version 1.0.0 has been updated for accompanying the journal publication D Angelo and Adelfio 2025 <doi:10.18637/jss.v113.i10>.
| Version: | 1.0.0 |
| Depends: | R (≥ 4.1.0) |
| Imports: | stats, graphics,KernSmooth,MASS,fields,optimx,plot3D,sparr,spatstat.explore,spatstat.geom,spatstat.linnet,spatstat.random,splancs,spatstat.model,spatstat.utils,stlnpp,stpp,mgcv,spatstat.univar |
| Published: | 2025-07-08 |
| DOI: | 10.32614/CRAN.package.stopp |
| Author: | Nicoletta D'Angelo [aut, cre], Giada Adelfio [aut] |
| Maintainer: | Nicoletta D'Angelo <nicoletta.dangelo at unipa.it> |
| License: | GPL-2 |GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| Citation: | stopp citation info |
| CRAN checks: | stopp results |
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