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Function to calculate Adaptive bandwidths according to Abramson’s smoothing regimen with multicore support
adaptive_bw.mc( grid, events, lines, bw, trim_bw, method, kernel_name, max_depth, tol, digits, sparse, verbose )
A vector with the local bandwidths
A spatial grid to split the data within
A feature collection of points representing the events
A feature collection of linestrings representing the network
The fixed kernel bandwidth
The maximum size of local bandwidths
The method to use when calculating the NKDE
The name of the kernel to use
The maximum recursion depth
A float indicating the spatial tolerance when snapping events on lines
The number of digits to keep
A Boolean indicating if sparse matrix should be used
A Boolean indicating if update messages should be printed
#This is an internal function, no example provided
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