print.locstppm: Print of a fitted local spatio-temporal Poisson process model

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

Print of a fitted local spatio-temporal Poisson process model

Description

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

Usage

## S3 method for class 'locstppm'
print(x, ...)

Arguments

x	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, summary.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)

inh_local

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