Package: stopp
Title: Spatio-Temporal Point Pattern Methods, Model Fitting,
        Diagnostics, Simulation, Local Tests
Version: 0.2.4
Date: 2024-06-03
Type: Package
Authors@R: c(person(given = "Nicoletta", family = "D'Angelo", email = "nicoletta.dangelo@unipa.it", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-8878-5986")),
	     person(given = "Giada", family = "Adelfio", role = "aut", comment = c(ORCID = "0000-0002-3194-4296")))
Description: 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.
License: GPL (>= 2)
Encoding: UTF-8
Depends: R (>= 4.0.0)
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
LazyData: true
Author: Nicoletta D'Angelo [aut, cre] (<https://orcid.org/0000-0002-8878-5986>),
  Giada Adelfio [aut] (<https://orcid.org/0000-0002-3194-4296>)
Maintainer: Nicoletta D'Angelo <nicoletta.dangelo@unipa.it>
RoxygenNote: 7.3.1
Config/testthat/edition: 3
NeedsCompilation: no
Packaged: 2024-06-03 15:33:02 UTC; nicol
Repository: CRAN
Date/Publication: 2024-06-04 09:47:54 UTC
Built: R 4.5.0; ; 2025-04-02 23:51:18 UTC; unix
