Description Usage Arguments Details Value
Estimate bandwidths based on local likelihood...
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data 
A matrix containing the multivariate observations, one observation in each row. Note that the marginals of these observations must be normalised in order for the assumptions of this code to be satisfied. 
.kernel 
Specification of the kernel to use, either

use_boundaries 
Logic value, default 
boundary_percentiles 
A vector specifying two percentiles,
default 
tol 
Convergence tolerance, default value 
The defaults for this function has been selected after an
investigation of how different settings affected the final values,
with an emphasis on getting "good enough" values within a shortest
possible computational time. Keep in mind that the data
must have normalised marginals.
The result of this function is a matrix that for each
bivariate combination from the points given in data
will
return the bandwidths obtained when the function
link{find_rho}
has been optimised with regard to the selected
bivariate subset of the data. In addition to the bandwidths, there
will also be a convergence
column that should contain
0
if the numerical combination of the bandwidths succeeded
without any problems.
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