print.localdiag: Print of the diagnostics' result on a spatio-temporal point...

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

Print of the diagnostics' result on a spatio-temporal point process model

Description

It prints the main information on the result of the local diagnostics performed with localdiag on either a stp or stlp object: whether the local test was run on point patterns lying on a linear network or not; the number of points in the analysed spatio-temporal point pattern X; the number of points of X which are identified as outlying by the previously performed local diagnostics.

Usage

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

Arguments

x	A localdiag object
...	additional unused argument

Author(s)

Nicoletta D'Angelo and Giada Adelfio

References

Adelfio, G., Siino, M., Mateu, J., and Rodríguez-Cortés, F. J. (2020). Some properties of local weighted second-order statistics for spatio-temporal point processes. Stochastic Environmental Research and Risk Assessment, 34(1), 149-168.

D’Angelo, N., Adelfio, G. and Mateu, J. (2022) Local inhomogeneous second-order characteristics for spatio-temporal point processes on linear networks. Stat Papers. https://doi.org/10.1007/s00362-022-01338-4

See Also

infl, plot.localdiag, summary.localdiag

Examples

set.seed(2)
inh <- rstpp(lambda = function(x, y, t, a) {exp(a[1] + a[2]*x)}, 
             par = c(.3, 6))

mod1 <- stppm(inh, formula = ~ 1)

resmod1 <- localdiag(inh, mod1$l, p = .9)

resmod1

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