stopp

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[https://doi.org/10.1007%2Fs00477-018-1579-0]; Siino et al. 2018[https://doi.org/10.1002%2Fenv.2463]; Adelfio et al. 2020[https://doi.org/10.1007%2Fs00477-019-01748-1]; D’Angelo, Adelfio, and Mateu 2021[https://doi.org/10.1016%2Fj.spasta.2021.100534]; D’Angelo, Adelfio, and Mateu 2022[https://doi.org/10.1007%2Fs00362-022-01338-4]; D’Angelo, Adelfio, and Mateu 2023[https://doi.org/10.1016%2Fj.csda.2022.107679]). The main topics include modeling, statistical inference, and simulation issues on spatio-temporal point processes on Euclidean space and linear networks.

Last 30 days

This package has been downloaded 477 times in the last 30 days. More than a random curiosity, but not quite a blockbuster. Still, it's gaining traction! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 46 times.

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Last 365 days

This package has been downloaded 6,565 times in the last 365 days. Impressive! The kind of number that makes colleagues ask, 'How did you do it?' The day with the most downloads was Sep 11, 2024 with 75 downloads.

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