nkde_get_loo_values: The exposed function to calculate NKDE likelihood cv

In spNetwork: Spatial Analysis on Network

The exposed function to calculate NKDE likelihood cv

Description

The exposed function to calculate NKDE likelihood cv (INTERNAL)

Usage

nkde_get_loo_values(
  method,
  neighbour_list,
  sel_events,
  sel_events_wid,
  events,
  events_wid,
  weights,
  bws_net,
  kernel_name,
  line_list,
  max_depth,
  cvl
)

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
events	a NumericVector indicating the nodes in the graph being events
events_wid	a NumericVector indicating the unique id of all the events
weights	a matrix with the weights associated with each event (row) for each bws_net (cols).
bws_net	an arma::vec with the network 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
cvl	a boolean indicating if the Cronie (TRUE) or CV likelihood (FALSE) must be used

Value

a vector with the CV score for each bandwidth and the densities if required

Examples

# no example provided, this is an internal function

spNetwork documentation built on Aug. 24, 2023, 5:10 p.m.