Package: stopp
Title: Spatio-Temporal Point Pattern Methods, Model Fitting,
        Diagnostics, Simulation, Local Tests
Version: 0.1.1
Date: 2023-07-03
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
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Depends: R (>= 3.5.0)
Imports: stats, graphics, KernSmooth, MASS, fields, gmp, latex2exp,
        optimx, plot3D, sparr, spatstat.explore, spatstat.geom,
        spatstat.linnet, spatstat.random, splancs, spatstat.model,
        stlnpp, stpp, etasFLP
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: 7.2.3
Config/testthat/edition: 3
NeedsCompilation: no
Packaged: 2023-07-03 08:38:11 UTC; nicol
Repository: CRAN
Date/Publication: 2023-07-03 08:50:02 UTC
Built: R 4.3.0; ; 2023-07-03 10:25:08 UTC; unix
