corrfactor_discontinuous

a list of the neighbours of each node

neighbour_list

a numeric vector of the node id of each event

events

a DataFrame representing the lines of the graph

line_list

the kernel bandwidth for each event

the maximum recursion depth (after which recursion is stopped)

max_depth

A function to calculate the necessary informations to apply the
Diggle correction factor with a discontinuous method

Perform spatial analysis on network.
Allow to calculate Network Kernel Density Estimate, and to build
spatial matrices ('listw' objects like in 'spdep' package) to conduct any kind of traditional
spatial analysis with spatial weights based on reticular distances. K functions on network
are also available but still experimental. References: Okabe et al (2019) <doi:10.1080/13658810802475491>;
Okabe et al (2012, ISBN:978-0470770818);Baddeley el al (2015, ISBN:9781482210200).

corrfactor_discontinuous: A function to calculate the necessary informations to apply the Diggle correction factor with a discontinuous method

Description

Arguments

Value