| tnkde_get_loo_values {spNetwork} | R Documentation |
The exposed function to calculate TNKDE likelihood cv
Description
The exposed function to calculate TNKDE likelihood cv (INTERNAL)
Usage
tnkde_get_loo_values(
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 matrix with the CV score for each pair of bandiwdths
Examples
# no example provided, this is an internal function