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; Siino et al. 2018; Adelfio et al. 2020; D’Angelo, Adelfio, and Mateu 2021; D’Angelo, Adelfio, and Mateu 2022; D’Angelo, Adelfio, and Mateu 2023). 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 .


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install.packages("stopp")

1.0.0 by Nicoletta D'Angelo, a year ago


Browse source code at https://github.com/cran/stopp


Authors: Nicoletta D'Angelo [aut, cre] (ORCID: , Giada Adelfio [aut]


Documentation:   PDF Manual  


GPL (>= 2) license


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


See at CRAN