summary.locstppm: Summary of a fitted local spatio-temporal Poisson process...

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

Summary of a fitted local spatio-temporal Poisson process model

Description

The function summarises the main information on the distribution of the parameters of a fitted local spatio-temporal Poisson process model.

Usage

## S3 method for class 'locstppm'
summary(object, ...)

Arguments

object	An object of class locstppm
...	additional unused argument

Author(s)

Nicoletta D'Angelo

References

D'Angelo, N., Adelfio, G., and Mateu, J. (2023). Locally weighted minimum contrast estimation for spatio-temporal log-Gaussian Cox processes. Computational Statistics & Data Analysis, 180, 107679.

See Also

locstppm, print.locstppm, plot.locstppm

Examples

set.seed(2)
inh <- rstpp(lambda = function(x, y, t, a) {exp(a[1] + a[2]*x)}, 
             par = c(0.005, 5))
inh_local <- locstppm(inh, formula = ~ x)

summary(inh_local)

stopp documentation built on May 29, 2024, 12:32 p.m.