The exposed function to calculate adaptive bandwidth with space-time interaction for TNKDE (INTERNAL)

adaptive_bw_tnkde_cpp(
  method,
  neighbour_list,
  sel_events,
  sel_events_wid,
  sel_events_time,
  events,
  events_wid,
  events_time,
  weights,
  bws_net,
  bws_time,
  kernel_name,
  line_list,
  max_depth,
  min_tol
)

Arguments

method: a string, one of "simple", "continuous", "discontinuous"
neighbour_list: a List, giving for each node an IntegerVector with its neighbours
sel_events: a Numeric vector indicating the selected events (id of nodes)
sel_events_wid: a Numeric Vector indicating the unique if of the selected events
sel_events_time: a Numeric Vector indicating the time of the selected events
events: a NumericVector indicating the nodes in the graph being events
events_wid: a NumericVector indicating the unique id of all the events
events_time: a NumericVector indicating the timestamp of each event
weights: a cube with the weights associated with each event for each bws_net and bws_time.
bws_net: an arma::vec with the network bandwidths to consider
bws_time: an arma::vec with the time bandwidths to consider
kernel_name: a string with the name of the kernel to use
line_list: a DataFrame describing the lines
max_depth: the maximum recursion depth
min_tol: a double indicating by how much 0 in density values must be replaced

Value

a vector witht the estimated density at each event location

Examples

# no example provided, this is an internal function