tnkdediscontinuousfunctionsparse: The main function to calculate discontinuous NKDE (ARMA and...
In spNetwork: Spatial Analysis on Network

tnkdediscontinuousfunctionsparse

R Documentation

The main function to calculate discontinuous NKDE (ARMA and sparse matrix)

Description

The main function to calculate discontinuous NKDE (ARMA and sparse matrix)

Usage

discontinuous_tnkde_cpp_arma_sparse(
  neighbour_list,
  events,
  weights,
  events_time,
  samples,
  samples_time,
  bws_net,
  bws_time,
  kernel_name,
  nodes,
  line_list,
  max_depth,
  verbose,
  div = "bw"
)

Arguments

`neighbour_list`	a list of the neighbours of each node
`events`	a numeric vector of the node id of each event
`weights`	a numeric vector of the weight of each event
`events_time`	a numeric vector with the time for the events
`samples`	a DataFrame of the samples (with spatial coordinates and belonging edge)
`samples_time`	a NumericVector indicating when to do the samples
`bws_net`	the network kernel bandwidths for each event
`kernel_name`	the name of the kernel function to use
`nodes`	a DataFrame representing the nodes of the graph (with spatial coordinates)
`line_list`	a DataFrame representing the lines of the graph
`max_depth`	the maximum recursion depth (after which recursion is stopped)
`verbose`	a boolean indicating if the function must print its progress
`div`	a string indicating how to standardize the kernel values