summary.stlgcppm {stopp}

Summary of a fitted LGCP model

Description

The function Summarises the main information on the fitted model. provided. In this case of local parameters (both first- and second-order), the summary function contains information on their distributions.

Usage

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

Arguments

object

An object of class stlgcppm

...

additional unused argument

Author(s)

Nicoletta D'Angelo and Giada Adelfio

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.

Siino, M., Adelfio, G., and Mateu, J. (2018). Joint second-order parameter estimation for spatio-temporal log-Gaussian Cox processes. Stochastic environmental research and risk assessment, 32(12), 3525-3539.

See Also

stlgcppm, print.stlgcppm, localsummary, plot.stlgcppm, localplot

Examples

catsub <- stp(greececatalog$df[1:200, ])

lgcp1 <- stlgcppm(catsub)

summary(lgcp1)