summary.locstppm {stopp} | R Documentation |
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 |
... |
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)
[Package stopp version 0.2.4 Index]