tnkdediscontinuousfunction | R Documentation |
The main function to calculate discontinuous NKDE (ARMA and Integer matrix)
discontinuous_tnkde_cpp_arma(
neighbour_list,
events,
weights,
events_time,
samples,
samples_time,
bws_net,
bws_time,
kernel_name,
nodes,
line_list,
max_depth,
verbose,
div = "bw"
)
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 |
a List with two matrices: the kernel values (sum_k) and the number of events for each sample (n)
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