kernel density estimation - bandwidth with epanechnikov kernel R -


my task make kernel density estimation r. used density function, works fine. want find suitable bandwidth. there several functions calculate bandwidth, e.g. bw.nrd0 . ?help description says "bandwidth selectors gaussian kernels in density." approach epanechnikov kernel better.

how can calculate bandwidth using epanechnikov kernel?
edit: in statistic book, bandwidth calculated, example silverman's rule of thumb (like function bw.nrd0) using gaussian kernel. using calculated bandwidth, there plot of kernel density estimation, comparing epanechnikov kernel , gaussian kernel. assume can use gaussian kernel calculation of bandwidth , bandwidth , epanechnikov kernel used kernel density estimation.

which method bandwidth selection use, if approach rough outcome?
edit: see, question not easy answer thought. there seem no general method, method has decided each particular problem.

i thought had problem using r, didn't have enough detailed knowledge kernel density function , it's parameters. necessary sure correct statistical methods, before computing them. sorry not realizing earlier , trying me.


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