R: Adaptive Kernel Estimators for Point Process Intensities on Linear Networks

# Adaptive Kernel Estimators for Point Process Intensities on Linear Networks

## Documentation for package ‘kernstadapt’ version 0.4.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

aegiss | Diggle et al.'s data: Non-specific gastrointestinal data
amazon | Locations of fires in the Amazon biome.
bw.abram.net | Abramson's adaptive bandwidth for networks
bw.abram.temp | Abramson's adaptive temporal bandwidths
dens.direct | Direct estimation of non-separable adaptive spatio-temporal intensity estimator
dens.direct.sep | Direct separable adaptive spatio-temporal intensity estimator
dens.net.EqualSplit | Adaptive linear netwokr intensity estimator using the Okabe-Sugihara equal-split algorithms
dens.net.heat | Adaptive linear network intensity estimator based on heat kernel
dens.par | Non-separable adaptive spatio-temporal intensity estimator
dens.par.sep | Separable adaptive spatio-temporal intensity estimator
dens.par.temp | Adaptive kernel estimate of intensity of a temporal point pattern
lGCpp | Simulated spatio-temporal log Gaussian Cox point pattern data
santander | Santander earthquakes epicentres
separability.test | Separability test for spatio-temporal point processes