summary.sepstlppm

The function summarises the main information of the fitted model.

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.

Nicoletta D'Angelo

stopp

Spatio-Temporal Point Pattern Methods, Model Fitting,
Diagnostics, Simulation, Local Tests

Giada Adelfio

summary.sepstlppm function

<dl><dt>object</dt>
<dd>An object of class <code>sepstlppm</code></dd>
<dt>...</dt>
<dd>additional unused argument</dd></dl>

Arguments

Author

Summary of a fitted fitted separable spatio-temporal Poisson process model on a linear network — summary.sepstlppm

<dl>

<dt>object</dt>
<dd>An object of class <code>sepstlppm</code></dd>


<dt>...</dt>
<dd>additional unused argument</dd>

</dl>

summary.sepstlppm: Summary of a fitted fitted separable spatio-temporal Poisson process model on a linear network

Description

Usage

Arguments

Author

See Also

Examples