Removed glpcv() which was not used (relied on optim, we now rely on
NOMAD)
Removed bwscaling, modified to manually conduct scaling... but need to
think harder about this... univariate case working but extra rescaling
by n^ which is not wanted...
Using bws[i]* for clarity...
Found the lingering issue with bwscaling... had incorrect constant
(2/5 for numeric instead of 1/5 though 2/5 for categorical was correct
I believe)
Now simply two places where new code to conduct rescaling is
involved.
Cleaning up after bwscaling in np has been deprecated, now starting
values are in line with npreg and the issue with lp_k1.R with
epanechnikov kernels is resolved (though performance with large
bandwidths is unexamined)
Further cleaning up of file, adjustment of continuous bandwidths if
initial starting values are provided to ensure they are converted to
scale factors for the continuouns (numeric) predictors.