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[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.
- Version0.2.4
- R versionunknown
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- Last release06/04/2024
Team
Nicoletta D'Angelo
Giada Adelfio
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Last 30 days
This package has been downloaded 492 times in the last 30 days. Now we're getting somewhere! Enough downloads to populate a lively group chat. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 5 times.
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Last 365 days
This package has been downloaded 6,544 times in the last 365 days. That's a lot of interest! Someone might even write a blog post about it. The day with the most downloads was Sep 11, 2024 with 75 downloads.
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Dependencies
- Imports17 packages